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Showing 1 - 20 of 380 results

Mobile Broadband Coverage for Hazardous Waste Tracking and Transport: An Analysis of In-Vehicle Mobile Broadband Availability from Major Service Providers

Herman, Arielle

;

Ledvina, Kirby

2026-09-18 | PDF

This report presents the extent of in-vehicle mobile broadband coverage along national highways and around hazardous waste generator locations with results summarized by U.S. Environmental Protection Agency (EPA) region. Mobile broadband coverage is based on data for three main service providers (AT&T, Verizon, and T-Mobile) as published by the Fed ...

09/24/2026

Title : Mobile Broadband Coverage for Hazardous Waste Tracking and Transport: An Analysis of In-Vehicle Mobile Broadband Availability from Major Service Providers Creator(s) : Herman, Arielle;Ledvina, Kirby;Lamb, David;Breck, Andrew;Wilczek, Amity;Raney, Mark;Sudderth, Erika A.; Corporate Creator(s) : John A. Volpe National Transportation Systems Center (U.S.) Corporate Contributor(s) : United States. Environmental Protection Agency. Office of Resource Conservation and Recovery Published Date : 2026-09-18 Report Number : DOT-VNTSC-EPA-26-01 URL : https://rosap.ntl.bts.gov/view/dot/93529
Herman, A., Ledvina, K., Lamb, D., Breck, A., Wilczek, A., Raney, M., & Sudderth, E. A. (2026). Mobile Broadband Coverage for Hazardous Waste Tracking and Transport: An Analysis of In-Vehicle Mobile Broadband Availability from Major Service Providers (Report No. DOT-VNTSC-EPA-26-01). John A. Volpe National Transportation Systems Center (U.S.). https://rosap.ntl.bts.gov/view/dot/93529

Herman, Arielle, Kirby Ledvina, David Lamb, Andrew Breck, Amity Wilczek, Mark Raney, and Erika A. Sudderth. Mobile Broadband Coverage for Hazardous Waste Tracking and Transport: An Analysis of In-Vehicle Mobile Broadband Availability from Major Service Providers. Report no. DOT-VNTSC-EPA-26-01. John A. Volpe National Transportation Systems Center (U.S.), 2026. https://rosap.ntl.bts.gov/view/dot/93529.

Herman, Arielle, et al. Mobile Broadband Coverage for Hazardous Waste Tracking and Transport: An Analysis of In-Vehicle Mobile Broadband Availability from Major Service Providers. John A. Volpe National Transportation Systems Center (U.S.), 2026, Report no. DOT-VNTSC-EPA-26-01, ROSA P. https://rosap.ntl.bts.gov/view/dot/93529.
Export RIS Citation Information. TY - Tech Report AU - Herman, Arielle AU - Ledvina, Kirby AU - Lamb, David AU - Breck, Andrew AU - Wilczek, Amity AU - Raney, Mark AU - Sudderth, Erika A. A2 - John A. Volpe National Transportation Systems Center (U.S.) A3 - United States. Environmental Protection Agency. Office of Resource Conservation and Recovery AB - This report presents the extent of in-vehicle mobile broadband coverage along national highways and around hazardous waste generator locations with results summarized by U.S. Environmental Protection Agency (EPA) region. Mobile broadband coverage is based on data for three main service providers (AT&T, Verizon, and T-Mobile) as published by the Federal Communications Commission National Broadband Map. Nationally, coverage is widespread, with mobile broadband accessible along 92% of road miles in the National Highway System and for 99% of hazardous waste generators. For most generator locations outside of coverage areas, mobile broadband access is less than a minute drive away. Still, small disparities exist between EPA regions, and the on-the-ground experience at individual sites will vary. AN - dot:93529 DA - 2026-09-18 ET - Final Report KW - Hazardous wastes KW - Broadband KW - Cellular networks KW - Electronic manifest LA - English PB - John A. Volpe National Transportation Systems Center (U.S.) PY - 2026 SN - DOT-VNTSC-EPA-26-01 TI - Mobile Broadband Coverage for Hazardous Waste Tracking and Transport: An Analysis of In-Vehicle Mobile Broadband Availability from Major Service Providers M3 - Tech Report N1 - United States DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93529 ER -
Driver Visual Accommodation With Camera-Based Rear Visibility Systems Versus Rearview Mirrors

Satterfield, Kelly ;

Mazzae, Elizabeth N.

2026-09-01 | PDF

This report describes research examining camera-based visibility systems, sometimes referred to as camera monitor systems or CMSs, which are designed to replace or supplement required vehicle mirrors with cameras that transmit video images to interior-mounted electronic visual displays. Research was performed to help inform NHTSA's decision whether ...

09/24/2026

Title : Driver Visual Accommodation With Camera-Based Rear Visibility Systems Versus Rearview Mirrors Creator(s) : Satterfield, Kelly;Mazzae, Elizabeth N.;Skuce, Isabella A.; Corporate Creator(s) : United States. Department of Transportation. National Highway Traffic Safety Administration. Vehicle Research and Test Center;Transportation Research Center Inc.; Corporate Contributor(s) : United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Vehicle Safety Research Published Date : 2026-09-01 Report Number : DOT HS 813 776 DOI : https://doi.org/10.21949/bej3-xj82
Satterfield, K., Mazzae, E. N., & Skuce, I. A. (2026). Driver Visual Accommodation With Camera-Based Rear Visibility Systems Versus Rearview Mirrors (Report No. DOT HS 813 776). United States. Department of Transportation. National Highway Traffic Safety Administration. https://doi.org/10.21949/bej3-xj82

Satterfield, Kelly, Elizabeth N. Mazzae, and Isabella A. Skuce. Driver Visual Accommodation With Camera-Based Rear Visibility Systems Versus Rearview Mirrors. Report no. DOT HS 813 776. United States. Department of Transportation. National Highway Traffic Safety Administration, 2026. https://doi.org/10.21949/bej3-xj82.

Satterfield, Kelly, et al. Driver Visual Accommodation With Camera-Based Rear Visibility Systems Versus Rearview Mirrors. United States. Department of Transportation. National Highway Traffic Safety Administration, 2026, Report no. DOT HS 813 776, ROSA P. https://doi.org/10.21949/bej3-xj82.
Export RIS Citation Information. TY - Tech Report AU - Satterfield, Kelly AU - Mazzae, Elizabeth N. AU - Skuce, Isabella A. A2 - United States. Department of Transportation. National Highway Traffic Safety Administration. Vehicle Research and Test Center A2 - Transportation Research Center Inc. A3 - United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Vehicle Safety Research AB - This report describes research examining camera-based visibility systems, sometimes referred to as camera monitor systems or CMSs, which are designed to replace or supplement required vehicle mirrors with cameras that transmit video images to interior-mounted electronic visual displays. Research was performed to help inform NHTSA's decision whether to grant industry petitions seeking the revision of FMVSS No. 111, Rear visibility, to permit CMSs to satisfy current requirements for rearview mirrors. Two experiments obtained information regarding how driver visual behavior with, ability to focus on, and extract information from a CMS-based electronic visual image differs from that afforded by outside and inside rearview mirrors. AN - dot:93528 DA - 2026-09-01 DO - https://doi.org/10.21949/bej3-xj82 KW - Visibility KW - Cameras KW - Monitoring KW - Rearview mirrors KW - Vehicle viewing aids KW - Camera monitor systems (CMSs) LA - English PB - United States. Department of Transportation. National Highway Traffic Safety Administration PY - 2026 SN - DOT HS 813 776 TI - Driver Visual Accommodation With Camera-Based Rear Visibility Systems Versus Rearview Mirrors M3 - Tech Report N1 - United States DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93528 ER -
Goods Movement Within the U.S. Supply Chain: Pharmaceuticals Profile

United States. Department of Transportation. Bureau of Transportation Statistics

2024-08-01 | Goods Movement Within the U.S. Supply Chain | PDF

Pharmaceuticals are vital to U.S. public health. Understanding how they move through the nation's transportation system helps mitigate supply chain disruptions and ensures patients receive essential medications when and where they need them. This profile analyzes where pharmaceuticals originate, where they are delivered, and the modes of transport ...

09/23/2026

Title : Goods Movement Within the U.S. Supply Chain: Pharmaceuticals Profile Corporate Creator(s) : United States. Department of Transportation. Bureau of Transportation Statistics Contributor(s) : Dijoseph, Patricia Published Date : 2024-08-01 Series : Goods Movement Within the U.S. Supply Chain DOI : https://doi.org/10.21949/xhaw-am91
United States. Department of Transportation. Bureau of Transportation Statistics (2024). Goods Movement Within the U.S. Supply Chain: Pharmaceuticals Profile. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/xhaw-am91

United States. Department of Transportation. Bureau of Transportation Statistics. Goods Movement Within the U.S. Supply Chain: Pharmaceuticals Profile. United States. Department of Transportation. Bureau of Transportation Statistics, 2024. https://doi.org/10.21949/xhaw-am91.

United States. Department of Transportation. Bureau of Transportation Statistics Goods Movement Within the U.S. Supply Chain: Pharmaceuticals Profile. United States. Department of Transportation. Bureau of Transportation Statistics, 2024, ROSA P. https://doi.org/10.21949/xhaw-am91.
Export RIS Citation Information. TY - Brief A2 - United States. Department of Transportation. Bureau of Transportation Statistics AB - Pharmaceuticals are vital to U.S. public health. Understanding how they move through the nation's transportation system helps mitigate supply chain disruptions and ensures patients receive essential medications when and where they need them. This profile analyzes where pharmaceuticals originate, where they are delivered, and the modes of transport used throughout the supply chain. AN - dot:93526 DA - 2024-08-01 DO - https://doi.org/10.21949/xhaw-am91 KW - Supply chain management KW - Intermodal services KW - Medication KW - Imports KW - Ports KW - Exports KW - Multimodal transportation KW - Trip length KW - Economic impacts KW - Freight traffic KW - Wholesale trade LA - English PB - United States. Department of Transportation. Bureau of Transportation Statistics PY - 2024 T2 - Goods Movement Within the U.S. Supply Chain TI - Goods Movement Within the U.S. Supply Chain: Pharmaceuticals Profile M3 - Brief N1 - United States DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93526 ER -
Analysis of Contributing Factors in Crashes Involving Electric Vehicles and Vehicles With Warning Systems and Level 1 Automated Features: A State Level Analysis [Final Report]

Harper, Corey

;

Hendrickson, Chris

2026-07-31 | PDF

Automated driving features could improve road safety by reducing the number of crashes caused by human error. However, as the market penetration of Level 2 advanced driver assistance systems (ADAS) increases, so does the number of crashes involving these technologies. This study proposes a data-driven framework combining latent class analysis, asso ...

09/21/2026

Title : Analysis of Contributing Factors in Crashes Involving Electric Vehicles and Vehicles With Warning Systems and Level 1 Automated Features: A State Level Analysis [Final Report] Creator(s) : Harper, Corey;Hendrickson, Chris;Wang, Jiacheng; Corporate Creator(s) : Carnegie Mellon University Corporate Contributor(s) : Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC);United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology;United States. Department of Transportation. Federal Highway Administration; Published Date : 2026-07-31 Report Number : 69A3552344811;69A3552348316; URL : https://rosap.ntl.bts.gov/view/dot/93525
Harper, C., Hendrickson, C., & Wang, J. (2026). Analysis of Contributing Factors in Crashes Involving Electric Vehicles and Vehicles With Warning Systems and Level 1 Automated Features: A State Level Analysis [Final Report] (Report No. 69A3552344811). Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/93525

Harper, Corey, Chris Hendrickson, and Jiacheng Wang. Analysis of Contributing Factors in Crashes Involving Electric Vehicles and Vehicles With Warning Systems and Level 1 Automated Features: A State Level Analysis [Final Report]. Report no. 69A3552344811. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026. https://rosap.ntl.bts.gov/view/dot/93525.

Harper, Corey, et al. Analysis of Contributing Factors in Crashes Involving Electric Vehicles and Vehicles With Warning Systems and Level 1 Automated Features: A State Level Analysis [Final Report]. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026, Report no. 69A3552344811, ROSA P. https://rosap.ntl.bts.gov/view/dot/93525.
Export RIS Citation Information. TY - Tech Report AU - Harper, Corey AU - Hendrickson, Chris AU - Wang, Jiacheng A2 - Carnegie Mellon University A3 - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology A3 - United States. Department of Transportation. Federal Highway Administration AB - Automated driving features could improve road safety by reducing the number of crashes caused by human error. However, as the market penetration of Level 2 advanced driver assistance systems (ADAS) increases, so does the number of crashes involving these technologies. This study proposes a data-driven framework combining latent class analysis, association rule mining, and logistic regression to analyze 617 Level 2 ADAS crashes reported to the National Highway Traffic Safety Administration between 2019 and 2026. Two latent classes are identified, which are lower-speed local road crashes and high-speed highway crashes. Association rule mining and logistic regression are conducted within each latent class, revealing substantial heterogeneity in injury-related crash patterns. In lower-speed local road crashes, injury occurrences are mainly associated with frontal impacts, intersection-related crashes, and moderate-speed configurations. In high-speed highway crashes, injury occurrences are mainly associated with high-speed configurations, fixed objects, light-to-medium duty vehicles, frontal impacts, and morning or late-night conditions. Practical applications include placing greater emphasis in scenario-based testing for combinations involving moderate and high pre-crash speeds, frontal contact, fixed-object crashes, light-to-medium duty vehicle crash partners, and late-night conditions. These findings may help manufacturers refine speed-aware system-use guidance, driver warnings, and operational design constraints for Level 2 ADAS-equipped vehicles. Overall, this study demonstrates the value of class-specific analysis for uncovering heterogeneous injury-associated patterns in Level 2 ADAS crashes. AN - dot:93525 DA - 2026-07-31 KW - Heterogeneity KW - Autonomous vehicles KW - Crash causes KW - Crash characteristics KW - Crash severity KW - Electric vehicles KW - Regression analysis KW - Level 2 ADAS KW - Latent Class Analysis KW - Association Rule Mining LA - English PB - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) PY - 2026 SN - 69A3552344811 TI - Analysis of Contributing Factors in Crashes Involving Electric Vehicles and Vehicles With Warning Systems and Level 1 Automated Features: A State Level Analysis [Final Report] M3 - Tech Report N1 - United States DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93525 ER -
Humanoid As Human Assessment for the Safety of Vulnerable Road Users

Li, Miao ;

Lai, Chengkai

2026-08-31 | PDF

This project builds a pipeline that bridges virtual and physical safety evaluation of autonomous driving under critical scenarios involving vulnerable road users (VRUs). We extend an esmini-based simulator to replay scenarios and control every road user, develop Crash Agent v2 to generate diverse, executable VRU-centric scenarios from NHTSA crash r ...

09/21/2026

Title : Humanoid As Human Assessment for the Safety of Vulnerable Road Users Creator(s) : Li, Miao;Lai, Chengkai;Zhao, Ding; Corporate Creator(s) : Carnegie Mellon University Corporate Contributor(s) : Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC);United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology;United States. Department of Transportation. Federal Highway Administration; Published Date : 2026-08-31 URL : https://rosap.ntl.bts.gov/view/dot/93524
Li, M., Lai, C., & Zhao, D. (2026). Humanoid As Human Assessment for the Safety of Vulnerable Road Users. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/93524

Li, Miao, Chengkai Lai, and Ding Zhao. Humanoid As Human Assessment for the Safety of Vulnerable Road Users. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026. https://rosap.ntl.bts.gov/view/dot/93524.

Li, Miao, et al. Humanoid As Human Assessment for the Safety of Vulnerable Road Users. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026, ROSA P. https://rosap.ntl.bts.gov/view/dot/93524.
Export RIS Citation Information. TY - Tech Report AU - Li, Miao AU - Lai, Chengkai AU - Zhao, Ding A2 - Carnegie Mellon University A3 - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology A3 - United States. Department of Transportation. Federal Highway Administration AB - This project builds a pipeline that bridges virtual and physical safety evaluation of autonomous driving under critical scenarios involving vulnerable road users (VRUs). We extend an esmini-based simulator to replay scenarios and control every road user, develop Crash Agent v2 to generate diverse, executable VRU-centric scenarios from NHTSA crash reports and road maps using fine-tuned vision-language and code-generating language models, introduce VRU behavior inpainting to turn trajectory-level scenarios into executable humanoid motions, and align the simulator with humanoid platforms so the same scenarios can be reproduced on a test ground. The result is a foundation for evaluating identical VRU-critical scenarios consistently in both virtual and physical settings. AN - dot:93524 DA - 2026-08-31 ET - Final Report (July 1, 2025 - July 31, 2026) KW - Artificial intelligence KW - Robots KW - Safety KW - Vulnerable road users KW - Evaluation KW - Assessments KW - Trajectory KW - Autonomous vehicles KW - humanoid robots LA - English PB - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) PY - 2026 TI - Humanoid As Human Assessment for the Safety of Vulnerable Road Users M3 - Tech Report N1 - United States N1 - 69A3552344811 DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93524 ER -
ViCARUS: Vision-Centric Connected Autonomy for Vulnerable Road Users' Safety

Bhagavatula, Vijayakumar

;

Shenkut, Dereje

2026-08-01 | PDF

The safety of vulnerable road users (VRUs) such as pedestrians, cyclists and motorcyclists remains a pressing challenge on U.S. roads. Cooperative perception and prediction, in which connected vehicles and infrastructure exchange sensing information over Vehicle-to-Everything (V2X) communication, can see past the occlusions and range limits of any ...

09/21/2026

Title : ViCARUS: Vision-Centric Connected Autonomy for Vulnerable Road Users' Safety Creator(s) : Bhagavatula, Vijayakumar;Shenkut, Dereje; Corporate Creator(s) : Carnegie Mellon University Corporate Contributor(s) : Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC);United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology;United States. Department of Transportation. Federal Highway Administration; Published Date : 2026-08-01 URL : https://rosap.ntl.bts.gov/view/dot/93523
Bhagavatula, V., & Shenkut, D. (2026). ViCARUS: Vision-Centric Connected Autonomy for Vulnerable Road Users' Safety. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/93523

Bhagavatula, Vijayakumar and Dereje Shenkut. ViCARUS: Vision-Centric Connected Autonomy for Vulnerable Road Users' Safety. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026. https://rosap.ntl.bts.gov/view/dot/93523.

Bhagavatula, Vijayakumar, and Dereje Shenkut ViCARUS: Vision-Centric Connected Autonomy for Vulnerable Road Users' Safety. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026, ROSA P. https://rosap.ntl.bts.gov/view/dot/93523.
Export RIS Citation Information. TY - Tech Report AU - Bhagavatula, Vijayakumar AU - Shenkut, Dereje A2 - Carnegie Mellon University A3 - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology A3 - United States. Department of Transportation. Federal Highway Administration AB - The safety of vulnerable road users (VRUs) such as pedestrians, cyclists and motorcyclists remains a pressing challenge on U.S. roads. Cooperative perception and prediction, in which connected vehicles and infrastructure exchange sensing information over Vehicle-to-Everything (V2X) communication, can see past the occlusions and range limits of any single vehicle. These capabilities disproportionately benefit VRUs, who are small, easily occluded, and severely injured in collisions, yet communication bandwidth remains the central challenge to deployment. This report presents the results of three studies conducted under the ViCARUS project, covering a collaborative perception method that prioritizes hard, safety-critical instances during communication, a learned feature codec that compresses exchanged features by more than two orders of magnitude with minimal accuracy loss, and a goal-level communication scheme for cooperative trajectory prediction that matches full-trajectory exchange at one tenth of the bandwidth. Together, the results indicate that cooperative perception and prediction for VRU safety is achievable within practical V2X bandwidth budgets. AN - dot:93523 DA - 2026-08-01 ET - Final Report (July 1, 2025 - June 30, 2026) KW - Vulnerable road users KW - Highway safety KW - Vehicle to everything communications KW - Object detection KW - Vector analysis KW - Trajectory KW - Mathematical prediction KW - Connected vehicles KW - Autonomous vehicles KW - Algorithms KW - Deep learning KW - Pedestrian detectors KW - Pedestrian safety KW - Pedestrians KW - Cyclists KW - Vehicles and equipment KW - Data and Information Technology KW - Safety and Human Factors KW - VRU safety KW - collaborative perception KW - 3D object detection KW - vector quantization KW - feature compression KW - cooperative trajectory prediction LA - English PB - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) PY - 2026 TI - ViCARUS: Vision-Centric Connected Autonomy for Vulnerable Road Users' Safety M3 - Tech Report N1 - United States N1 - 69A3552344811 DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93523 ER -
Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos [supporting dataset]

Cui, Qingbin

2026-03-28 | JSON

This repository contains curated dataset and inference results used in the study: "AI-powered bridge defect detection and condition assessment using drone-collected visual data."Contents:1. curated_dataset_images_annotations: Annotated images with YOLO-format labels for eight defect classes.2. curated_inference_results_images: Model predictions on ...

09/21/2026

Supporting Files

Title : Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos [supporting dataset] Creator(s) : Cui, Qingbin Corporate Creator(s) : North Central Regional Planning Commission Corporate Contributor(s) : Strengthening Mobility and Revolutionizing Transportation (SMART) Program Contributor(s) : Zhang, Yunfeng Published Date : 2026-03-28 DOI : https://doi.org/10.5281/zenodo.19268973
Cui, Q. (2026). Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos [supporting dataset]. North Central Regional Planning Commission. https://doi.org/10.5281/zenodo.19268973

Cui, Qingbin. Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos [supporting dataset]. North Central Regional Planning Commission, 2026. https://doi.org/10.5281/zenodo.19268973.

Cui, Qingbin Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos [supporting dataset]. North Central Regional Planning Commission, 2026, ROSA P. https://doi.org/10.5281/zenodo.19268973.
Export RIS Citation Information. TY - Dataset AU - Cui, Qingbin A2 - North Central Regional Planning Commission A3 - Strengthening Mobility and Revolutionizing Transportation (SMART) Program AB - This repository contains curated dataset and inference results used in the study: "AI-powered bridge defect detection and condition assessment using drone-collected visual data." AB - Contents: AB - 1. curated_dataset_images_annotations: Annotated images with YOLO-format labels for eight defect classes. AB - 2. curated_inference_results_images: Model predictions on test images. AB - 3. curated_dataset_bridge_videos: Raw bridge inspection videos. AB - The total size of the ZIP file is 20.1 GB. AB - This item is made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Use the following citation: Tsegaye, N. T. (2026). Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.19268973 AN - dot:93522 DA - 2026-03-28 DO - https://doi.org/10.5281/zenodo.19268973 KW - Datasets KW - Bridges KW - Structural health monitoring KW - Concrete KW - Drones KW - Unmanned aircraft systems KW - Artificial intelligence LA - English PB - North Central Regional Planning Commission PY - 2026 TI - Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos [supporting dataset] M3 - Dataset N1 - United States N1 - This item is made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Use the following citation: Tsegaye, N. T. (2026). Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.19268973 N1 - 69A3552341015 SMARTFY22N1P1G24 DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93522 ER -
FAA Technical Center Enhanced Airport Security System Project: System Environmental Compatibility Report

Wall, Walter ;

Ocker, Edward

1994-10-01 | PDF

This report provides an analysis of the effect of the environmental conditions present at BWI on the equipment utilized in the Enhanced Airport Security System Project. Analyses of Technicians notebooks and sensor alarm reports printed out by the Security Operations Center online printer were performed. The effect of various natural phenomena and m ...

09/21/2026

Title : FAA Technical Center Enhanced Airport Security System Project: System Environmental Compatibility Report Creator(s) : Wall, Walter;Ocker, Edward; Corporate Creator(s) : United States. Federal Aviation Administration. Aviation Security Research and Development Division;United States. Department of Transportation. Federal Aviation Administration. Technical Center; Corporate Contributor(s) : United States. Department of Transportation. Federal Aviation Administration. Associate Administrator for Civil Aviation Security, ACS-1 Published Date : 1994-10-01 Report Number : DOT/FAA/CT-94/29 URL : https://rosap.ntl.bts.gov/view/dot/93521
Wall, W., & Ocker, E. (1994). FAA Technical Center Enhanced Airport Security System Project: System Environmental Compatibility Report (Report No. DOT/FAA/CT-94/29). United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center. https://rosap.ntl.bts.gov/view/dot/93521

Wall, Walter and Edward Ocker. FAA Technical Center Enhanced Airport Security System Project: System Environmental Compatibility Report. Report no. DOT/FAA/CT-94/29. United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center, 1994. https://rosap.ntl.bts.gov/view/dot/93521.

Wall, Walter, and Edward Ocker FAA Technical Center Enhanced Airport Security System Project: System Environmental Compatibility Report. United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center, 1994, Report no. DOT/FAA/CT-94/29, ROSA P. https://rosap.ntl.bts.gov/view/dot/93521.
Export RIS Citation Information. TY - Tech Report AU - Wall, Walter AU - Ocker, Edward A2 - United States. Federal Aviation Administration. Aviation Security Research and Development Division A2 - United States. Department of Transportation. Federal Aviation Administration. Technical Center A3 - United States. Department of Transportation. Federal Aviation Administration. Associate Administrator for Civil Aviation Security, ACS-1 AB - This report provides an analysis of the effect of the environmental conditions present at BWI on the equipment utilized in the Enhanced Airport Security System Project. Analyses of Technicians notebooks and sensor alarm reports printed out by the Security Operations Center online printer were performed. The effect of various natural phenomena and man-made effects are discussed in this report along with, where applicable, the steps taken to minimize any adverse effects. AN - dot:93521 DA - 1994-10-01 ET - Final Report KW - Aeronautics KW - Airports KW - Safety KW - Security LA - English PB - United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center PY - 1994 SN - DOT/FAA/CT-94/29 TI - FAA Technical Center Enhanced Airport Security System Project: System Environmental Compatibility Report M3 - Tech Report N1 - United States N1 - DTFA03-93-C-00042 DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93521 ER -
Project 581: StreetSavvi: Complete Street AI Companion for Digital Twin Driving

Guerra, Erick

;

Loeb, Helen

2026-08-31 | PDF

This project expands on the installation of speed cameras on the Roosevelt Blvd. Simulation and visualization tools allow the research team to partner with local stakeholders to assess the impact of various designs on multiple metrics such as traffic congestion, safety, cost. The StreetSavii framework provides a friendly AI based user interface for ...

09/21/2026

Title : Project 581: StreetSavvi: Complete Street AI Companion for Digital Twin Driving Creator(s) : Guerra, Erick;Loeb, Helen; Corporate Creator(s) : University of Pennsylvania Corporate Contributor(s) : Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC);United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Federal Highway Administration; Published Date : 2026-08-31 Report Number : 581 URL : https://rosap.ntl.bts.gov/view/dot/93520
Guerra, E., & Loeb, H. (2026). Project 581: StreetSavvi: Complete Street AI Companion for Digital Twin Driving (Report No. 581). Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/93520

Guerra, Erick and Helen Loeb. Project 581: StreetSavvi: Complete Street AI Companion for Digital Twin Driving. Report no. 581. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026. https://rosap.ntl.bts.gov/view/dot/93520.

Guerra, Erick, and Helen Loeb Project 581: StreetSavvi: Complete Street AI Companion for Digital Twin Driving. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026, Report no. 581, ROSA P. https://rosap.ntl.bts.gov/view/dot/93520.
Export RIS Citation Information. TY - Tech Report AU - Guerra, Erick AU - Loeb, Helen A2 - University of Pennsylvania A3 - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Federal Highway Administration AB - This project expands on the installation of speed cameras on the Roosevelt Blvd. Simulation and visualization tools allow the research team to partner with local stakeholders to assess the impact of various designs on multiple metrics such as traffic congestion, safety, cost. The StreetSavii framework provides a friendly AI based user interface for ideation to help with street design. AN - dot:93520 DA - 2026-08-31 ET - Final Report (July 1, 2025 - June 30, 2026) KW - Digital twins KW - Driving simulators KW - Artificial intelligence KW - Geospatial data KW - Simulation KW - Transportation planning KW - Safety KW - Costs KW - Speed cameras KW - Quantitative metrics KW - Traffic congestion KW - Design KW - Highways KW - Human factors KW - Data and Information Technology KW - Operations and Traffic Management KW - Planning and Forecasting LA - English PB - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) PY - 2026 SN - 581 TI - Project 581: StreetSavvi: Complete Street AI Companion for Digital Twin Driving M3 - Tech Report N1 - United States N1 - 69A3552344811 DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93520 ER -
The Effects of Curb Extensions on Traffic Crashes and Injuries

Guerra, Erick

;

Hu, Yihong

2026-08-31 | PDF

This project employs Bayesian negative binomial models to examine the effects of curb extensions on traffic safety through their implementation as part of a stormwater management program in the City of Philadelphia. Although widely deployed to promote traffic safety, the effects of curb extensions on traffic safety are poorly understood. Between 20 ...

09/21/2026

Title : The Effects of Curb Extensions on Traffic Crashes and Injuries Creator(s) : Guerra, Erick;Hu, Yihong;Ben-Amos, Ariel; Corporate Creator(s) : Carnegie Mellon University Corporate Contributor(s) : Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC);United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology;United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Federal Highway Administration; Published Date : 2026-08-31 URL : https://rosap.ntl.bts.gov/view/dot/93519
Guerra, E., Hu, Y., & Ben-Amos, A. (2026). The Effects of Curb Extensions on Traffic Crashes and Injuries. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/93519

Guerra, Erick, Yihong Hu, and Ariel Ben-Amos. The Effects of Curb Extensions on Traffic Crashes and Injuries. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026. https://rosap.ntl.bts.gov/view/dot/93519.

Guerra, Erick, et al. The Effects of Curb Extensions on Traffic Crashes and Injuries. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026, ROSA P. https://rosap.ntl.bts.gov/view/dot/93519.
Export RIS Citation Information. TY - Tech Report AU - Guerra, Erick AU - Hu, Yihong AU - Ben-Amos, Ariel A2 - Carnegie Mellon University A3 - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Federal Highway Administration AB - This project employs Bayesian negative binomial models to examine the effects of curb extensions on traffic safety through their implementation as part of a stormwater management program in the City of Philadelphia. Although widely deployed to promote traffic safety, the effects of curb extensions on traffic safety are poorly understood. Between 2011 and 2023, the Philadelphia Water Department installed 156 vegetated curb extensions that protruded into the street and initiated the design of 342 curb extensions to be built by 2029. Although pre-existing crash data featured in the selection of treated locations, the focus on stormwater management and long list of treated and untreated intersections provide unique, quasi-experimental conditions under which to examine the effects of curb extensions. After matching these curb extensions to intersections and removing midblock interventions, we created a dataset of 94 treated intersections and 269 control intersections installed between 2013 and 2023. Each intersection included a single curb extension. We matched these spatially to annually aggregated crash data from 2012 to 2024. We also matched these to data on the roadway width, roadway class, signalization at the intersection, and expected acres of drainage associated with stormwater management. Analysis suggested that curb extensions reduced the incidence of reported crashes by around 13% at a typical intersection. However, the 95% credible interval ranged from a 35% decrease to an 18% increase. Findings suggest that a single curb extension may reduce collisions and injuries but that additional studies are needed from fully treated intersections. AN - dot:93519 DA - 2026-08-31 ET - Final Report (July 1, 2025 - July 31, 2026) KW - Curbs KW - Speed control humps KW - Daylight KW - Traffic safety KW - Crashes KW - Injuries KW - Intersections KW - Datasets KW - Signalization LA - English PB - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) PY - 2026 TI - The Effects of Curb Extensions on Traffic Crashes and Injuries M3 - Tech Report N1 - United States N1 - 69A3552344811 DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93519 ER -
Performance-based Planning and Programming

Louch, Hugh

2012-05-01 | PDF

In response to recent economic, political, and social trends that have placed greater emphasis on public-sector accountability and cost-effectiveness, transportation agencies across the country have increasingly embraced performance management and performance-based planning and programming as a way to ensure that transportation resources are spent ...

09/21/2026

Title : Performance-based Planning and Programming Creator(s) : Louch, Hugh Corporate Creator(s) : Cambridge Systematics, Inc. Corporate Contributor(s) : United States. Department of Transportation. Federal Highway Administration Contributor(s) : Smith, Egan Published Date : 2012-05-01 Report Number : FHWA-HEP-12-042 URL : https://rosap.ntl.bts.gov/view/dot/93518
Louch, H. (2012). Performance-based Planning and Programming (Report No. FHWA-HEP-12-042). United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/93518

Louch, Hugh. Performance-based Planning and Programming. Report no. FHWA-HEP-12-042. United States. Department of Transportation. Federal Highway Administration, 2012. https://rosap.ntl.bts.gov/view/dot/93518.

Louch, Hugh Performance-based Planning and Programming. United States. Department of Transportation. Federal Highway Administration, 2012, Report no. FHWA-HEP-12-042, ROSA P. https://rosap.ntl.bts.gov/view/dot/93518.
Export RIS Citation Information. TY - Tech Report AU - Louch, Hugh A2 - Cambridge Systematics, Inc. A3 - United States. Department of Transportation. Federal Highway Administration A4 - Smith, Egan AB - In response to recent economic, political, and social trends that have placed greater emphasis on public-sector accountability and cost-effectiveness, transportation agencies across the country have increasingly embraced performance management and performance-based planning and programming as a way to ensure that transportation resources are spent on projects and strategies that best serve communities' needs. This white paper describes the common elements of a performance-based transportation planning and programming process, building on work conducted by State departments of transportation (DOT), metropolitan planning organizations (MPO), and transit agencies. The white paper describes current practices in use at several transportation agencies and opportunities to incorporate performance measurement and management techniques into the federally required planning process. AN - dot:93518 DA - 2012-05-01 ET - White Paper KW - Transportation planning KW - Performance measurement KW - Programming (Planning) KW - Planning methods LA - English PB - United States. Department of Transportation. Federal Highway Administration PY - 2012 SN - FHWA-HEP-12-042 TI - Performance-based Planning and Programming M3 - Tech Report N1 - United States N1 - DTFH-61-06-00004 DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93518 ER -
Aircraft Catastrophic Failure Prevention Research Program

United States. Department of Transportation. Federal Aviation Administration. Technical Center

1994-01-01 | PDF

At least eight tragic civil transport aircraft accidents worldwide since 1979 that resulted in over 1,100 fatalities, prompted Congress to enact the legislation which directed the Federal Aviation Administration (FAA) to establish the Aircraft Catastrophic Failure Prevention Research Program. The legislators were motivated by the fact that in each ...

09/21/2026

Title : Aircraft Catastrophic Failure Prevention Research Program Corporate Creator(s) : United States. Department of Transportation. Federal Aviation Administration. Technical Center Published Date : 1994-01-01 Report Number : DOT /F AA/CT -94/26 URL : https://rosap.ntl.bts.gov/view/dot/93517
United States. Department of Transportation. Federal Aviation Administration. Technical Center (1994). Aircraft Catastrophic Failure Prevention Research Program (Report No. DOT /F AA/CT -94/26). United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center. https://rosap.ntl.bts.gov/view/dot/93517

United States. Department of Transportation. Federal Aviation Administration. Technical Center. Aircraft Catastrophic Failure Prevention Research Program. Report no. DOT /F AA/CT -94/26. United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center, 1994. https://rosap.ntl.bts.gov/view/dot/93517.

United States. Department of Transportation. Federal Aviation Administration. Technical Center Aircraft Catastrophic Failure Prevention Research Program. United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center, 1994, Report no. DOT /F AA/CT -94/26, ROSA P. https://rosap.ntl.bts.gov/view/dot/93517.
Export RIS Citation Information. TY - Tech Report A2 - United States. Department of Transportation. Federal Aviation Administration. Technical Center AB - At least eight tragic civil transport aircraft accidents worldwide since 1979 that resulted in over 1,100 fatalities, prompted Congress to enact the legislation which directed the Federal Aviation Administration (FAA) to establish the Aircraft Catastrophic Failure Prevention Research Program. The legislators were motivated by the fact that in each accident the devastating consequence may have been prevented. Specifically, the Program contained in the Omnibus Reconciliation Act of 1990 (Public Law 101-508) stated that improved methodology and advanced technology be applied to assess and prevent catastrophic failures that can result in civil aircraft accidents. The Program further expanded the FAA's research role which had just recently been broadened under the Aviation Safety Research Act of 1988 (Public Law 100-591). AN - dot:93517 DA - 1994-01-01 ET - Program Plan KW - Air transportation KW - Aviation safety KW - Failure KW - Turbine engines KW - Airframes KW - Flight control systems KW - Risk assessment LA - English PB - United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center PY - 1994 SN - DOT /F AA/CT -94/26 TI - Aircraft Catastrophic Failure Prevention Research Program M3 - Tech Report N1 - United States DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93517 ER -
Regional Workshop on Performance-based Planning and Programming - Denver, Colorado

Cambridge Systematics, Inc.

2012-09-28 | PDF

The Federal Highway Administration (FHWA) and the Federal Transit Administration (FTA) in cooperation with their planning partners, held a regional workshop on performance-based planning and programming at the Colorado DOT in Denver, Colorado on September 18, 2012. This workshop is one of several activities being conducted by FHWA and FTA in collab ...

09/21/2026

Title : Regional Workshop on Performance-based Planning and Programming - Denver, Colorado Corporate Creator(s) : Cambridge Systematics, Inc. Corporate Contributor(s) : United States. Department of Transportation. Federal Highway Administration. Office of Planning, Environment, and Realty Published Date : 2012-09-28 URL : https://rosap.ntl.bts.gov/view/dot/93516
Cambridge Systematics, Inc. (2012). Regional Workshop on Performance-based Planning and Programming - Denver, Colorado. United States. Department of Transportation. Federal Highway Administration. Office of Planning, Environment, and Realty. https://rosap.ntl.bts.gov/view/dot/93516

Cambridge Systematics, Inc.. Regional Workshop on Performance-based Planning and Programming - Denver, Colorado. United States. Department of Transportation. Federal Highway Administration. Office of Planning, Environment, and Realty, 2012. https://rosap.ntl.bts.gov/view/dot/93516.

Cambridge Systematics, Inc. Regional Workshop on Performance-based Planning and Programming - Denver, Colorado. United States. Department of Transportation. Federal Highway Administration. Office of Planning, Environment, and Realty, 2012, ROSA P. https://rosap.ntl.bts.gov/view/dot/93516.
Export RIS Citation Information. TY - Tech Report A2 - Cambridge Systematics, Inc. A3 - United States. Department of Transportation. Federal Highway Administration. Office of Planning, Environment, and Realty AB - The Federal Highway Administration (FHWA) and the Federal Transit Administration (FTA) in cooperation with their planning partners, held a regional workshop on performance-based planning and programming at the Colorado DOT in Denver, Colorado on September 18, 2012. This workshop is one of several activities being conducted by FHWA and FTA in collaboration with the American Association of State Highway and Transportation Officials (AASHTO), the Association of Metropolitan Planning Organization (AMPO), the National Association of Regional Councils (NARC), the American Public Transportation Association (APTA), the National Association of Development Organizations (NADO), and planning partners including state Departments of Transportation (DOTs), Metropolitan Planning Organizations (MPOs), and transit agencies to determine how to implement a performance-based planning and programming process. AN - dot:93516 DA - 2012-09-28 KW - Transportation planning KW - Performance measurement KW - Programming (Planning) KW - Workshops LA - English PB - United States. Department of Transportation. Federal Highway Administration. Office of Planning, Environment, and Realty PY - 2012 TI - Regional Workshop on Performance-based Planning and Programming - Denver, Colorado M3 - Tech Report N1 - United States DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93516 ER -
Performance-Based Planning and Programming: Transportation Planning Information Exchange Webinar

Smith, Egan ;

Austin, Victor

2013-03-21 | PDF

The Federal Highway Administration (FHWA) and the Federal Transit Administration (FTA) sponsored the webinar "Performance-based Planning and Programming" on March 21, 2013. The featured speakers included representatives from FHWA, FTA, Mid-America Regional Council, Minnesota Department of Transportation, Washington Metropolitan Area Transit Authori ...

09/21/2026

Title : Performance-Based Planning and Programming: Transportation Planning Information Exchange Webinar Creator(s) : Smith, Egan;Austin, Victor;Gerend, Tom;Belden, Deanna;Hendren, Patricia;Thomas, John; Corporate Creator(s) : United States. Department of Transportation. Federal Highway Administration;United States. Department of Transportation. Federal Transit Administration; Published Date : 2013-03-21 URL : https://rosap.ntl.bts.gov/view/dot/93515
Smith, E., Austin, V., Gerend, T., Belden, D., Hendren, P., & Thomas, J. (2013). Performance-Based Planning and Programming: Transportation Planning Information Exchange Webinar. United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/93515

Smith, Egan, Victor Austin, Tom Gerend, Deanna Belden, Patricia Hendren, and John Thomas. Performance-Based Planning and Programming: Transportation Planning Information Exchange Webinar. United States. Department of Transportation. Federal Highway Administration, 2013. https://rosap.ntl.bts.gov/view/dot/93515.

Smith, Egan, et al. Performance-Based Planning and Programming: Transportation Planning Information Exchange Webinar. United States. Department of Transportation. Federal Highway Administration, 2013, ROSA P. https://rosap.ntl.bts.gov/view/dot/93515.
Export RIS Citation Information. TY - Presentations AU - Smith, Egan AU - Austin, Victor AU - Gerend, Tom AU - Belden, Deanna AU - Hendren, Patricia AU - Thomas, John A2 - United States. Department of Transportation. Federal Highway Administration A2 - United States. Department of Transportation. Federal Transit Administration AB - The Federal Highway Administration (FHWA) and the Federal Transit Administration (FTA) sponsored the webinar "Performance-based Planning and Programming" on March 21, 2013. The featured speakers included representatives from FHWA, FTA, Mid-America Regional Council, Minnesota Department of Transportation, Washington Metropolitan Area Transit Authority, and Utah Department of Transportation. The presenters provided an overview of ways that State DOTs, MPOs, and transit agencies are providing data and information to support a performance-based planning and programming process, both generally and within specific program areas. AN - dot:93515 DA - 2013-03-21 KW - Transportation planning KW - Data sharing KW - Information dissemination KW - Programming (Planning) LA - English PB - United States. Department of Transportation. Federal Highway Administration PY - 2013 TI - Performance-Based Planning and Programming: Transportation Planning Information Exchange Webinar M3 - Presentations N1 - United States DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93515 ER -
Project #578 - UTC Safety21: Improve Transportation Infrastructure (Geotechnical Asset) Safety by Reducing the Risks of Landslides - Phase 3

Sheng, Zhuping

;

Owolabi, Oludare

2026-08-31 | PDF

This report summarizes Phase 3 research findings of the project Improve Transportation Infrastructure (Geotechnical Asset) Safety by Reducing the Risks of Landslides, sponsored by the National UTC Safety21 program. The work advances an integrated framework for detecting and monitoring slope instability and assessing landslide risk along highways, r ...

09/21/2026

Title : Project #578 - UTC Safety21: Improve Transportation Infrastructure (Geotechnical Asset) Safety by Reducing the Risks of Landslides - Phase 3 Creator(s) : Sheng, Zhuping;Owolabi, Oludare;Liu, Yi;Nyarko, Kofi; Corporate Creator(s) : Morgan State University. Department of Civil and Environmental Engineering Corporate Contributor(s) : Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC);United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology;United States. Department of Transportation. Federal Highway Administration; Published Date : 2026-08-31 URL : https://rosap.ntl.bts.gov/view/dot/93514
Sheng, Z., Owolabi, O., Liu, Y., & Nyarko, K. (2026). Project #578 - UTC Safety21: Improve Transportation Infrastructure (Geotechnical Asset) Safety by Reducing the Risks of Landslides - Phase 3. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/93514

Sheng, Zhuping, Oludare Owolabi, Yi Liu, and Kofi Nyarko. Project #578 - UTC Safety21: Improve Transportation Infrastructure (Geotechnical Asset) Safety by Reducing the Risks of Landslides - Phase 3. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026. https://rosap.ntl.bts.gov/view/dot/93514.

Sheng, Zhuping, et al. Project #578 - UTC Safety21: Improve Transportation Infrastructure (Geotechnical Asset) Safety by Reducing the Risks of Landslides - Phase 3. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026, ROSA P. https://rosap.ntl.bts.gov/view/dot/93514.
Export RIS Citation Information. TY - Tech Report AU - Sheng, Zhuping AU - Owolabi, Oludare AU - Liu, Yi AU - Nyarko, Kofi A2 - Morgan State University. Department of Civil and Environmental Engineering A3 - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology A3 - United States. Department of Transportation. Federal Highway Administration AB - This report summarizes Phase 3 research findings of the project Improve Transportation Infrastructure (Geotechnical Asset) Safety by Reducing the Risks of Landslides, sponsored by the National UTC Safety21 program. The work advances an integrated framework for detecting and monitoring slope instability and assessing landslide risk along highways, railroads, and roadways. The studies include geometry-resolved InSAR monitoring and directional forecasting at Haystack Mountain; intervention-aware InSAR and multi-horizon machine learning for the Baltimore CSX Belt Line; a simulation-based CaseBank and machine-learning framework for rapid slope-stability assessment; soil-specific probabilistic rainfall thresholds for landslide initiation in Maryland; physics-informed multi-sensor machine-learning/deep-learning benchmarking and LiDAR monitoring for early warning; laboratory characterization of soils from Maryland landslide-inventory sites; and a national railroad landslide-exposure inventory developed through GIS-based proximity screening. AN - dot:93514 DA - 2026-08-31 ET - Final Report July 1, 2025-June 30, 2026 KW - Landslides KW - Slope stability KW - Laser radar KW - Machine learning KW - Rainfall KW - Geographic information systems KW - Benchmarks KW - Infrastructure KW - Geotechnical engineering KW - Assets KW - InSAR KW - Rainfall Thresholds KW - Soil Characterization KW - Early Warning KW - Railroad Exposure LA - English PB - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) PY - 2026 TI - Project #578 - UTC Safety21: Improve Transportation Infrastructure (Geotechnical Asset) Safety by Reducing the Risks of Landslides - Phase 3 M3 - Tech Report N1 - United States N1 - 69A3552344811 DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93514 ER -
Advancing Pavement and Bridge Asset Performance Through Transportation Programming

Duffy, Catherine ;

Grant, Michael

2026-01-21 | PDF

This synthesis report examines how State Departments of Transportation (DOTs) and Metropolitan Planning Organizations (MPOs) consider National Highway System (NHS) pavement and bridge condition when developing Statewide and Metropolitan Transportation Improvement Programs (STIPs and TIPs). Using a review of documents from 10 State DOTs and 10 MPOs, ...

09/21/2026

Title : Advancing Pavement and Bridge Asset Performance Through Transportation Programming Creator(s) : Duffy, Catherine;Grant, Michael;Poore, Michael;Allen, Brad W.;Alam-Khan, Shafkat; Corporate Creator(s) : ICF Corporate Contributor(s) : United States. Department of Transportation. Federal Highway Administration Contributor(s) : Davis, Corbin Published Date : 2026-01-21 Report Number : FHWA-HEP-26-001 URL : https://rosap.ntl.bts.gov/view/dot/93513
Duffy, C., Grant, M., Poore, M., Allen, B. W., & Alam-Khan, S. (2026). Advancing Pavement and Bridge Asset Performance Through Transportation Programming (Report No. FHWA-HEP-26-001). United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/93513

Duffy, Catherine, Michael Grant, Michael Poore, Brad W. Allen, and Shafkat Alam-Khan. Advancing Pavement and Bridge Asset Performance Through Transportation Programming. Report no. FHWA-HEP-26-001. United States. Department of Transportation. Federal Highway Administration, 2026. https://rosap.ntl.bts.gov/view/dot/93513.

Duffy, Catherine, et al. Advancing Pavement and Bridge Asset Performance Through Transportation Programming. United States. Department of Transportation. Federal Highway Administration, 2026, Report no. FHWA-HEP-26-001, ROSA P. https://rosap.ntl.bts.gov/view/dot/93513.
Export RIS Citation Information. TY - Tech Report AU - Duffy, Catherine AU - Grant, Michael AU - Poore, Michael AU - Allen, Brad W. AU - Alam-Khan, Shafkat A2 - ICF A3 - United States. Department of Transportation. Federal Highway Administration A4 - Davis, Corbin AB - This synthesis report examines how State Departments of Transportation (DOTs) and Metropolitan Planning Organizations (MPOs) consider National Highway System (NHS) pavement and bridge condition when developing Statewide and Metropolitan Transportation Improvement Programs (STIPs and TIPs). Using a review of documents from 10 State DOTs and 10 MPOs, a national literature review, practitioner interviews, and peer exchanges, the report identifies current practices, challenges, and opportunities for incorporating asset management data, needs, and priorities into the transportation programming process. Findings show that agencies vary in how they integrate performance targets, asset management plans, and data-driven tools into funding and project selection. Common challenges include balancing asset condition with other priorities, data limitations, staff capacity constraints, and funding uncertainty. The report includes four case studies, descriptions of notable practices, and actionable strategies for transportation agencies to strengthen performance-based programming and improve pavement and bridge performance nationwide. AN - dot:93513 DA - 2026-01-21 KW - Asset management KW - Transportation system management KW - Transportation planning KW - Bridge management systems KW - Performance measurement KW - Bridge performance LA - English PB - United States. Department of Transportation. Federal Highway Administration PY - 2026 SN - FHWA-HEP-26-001 TI - Advancing Pavement and Bridge Asset Performance Through Transportation Programming M3 - Tech Report N1 - United States DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93513 ER -
Safe and Efficient Automated Freeway Traffic Control-Phase 3 Final Report

Coifman, Benjamin

;

Liu, Yuan

2026-08-31 | PDF

The goal of this work is to eliminate unexpected stops to improve safety with the added benefit of reducing accelerations to improve fuel efficiency. Congested traffic is characterized by signals and waves propagating upstream through the queued traffic. Freeway drivers do not expect to encounter abrupt drops in speed or stopped traffic, as a resul ...

09/21/2026

Title : Safe and Efficient Automated Freeway Traffic Control-Phase 3 Final Report Creator(s) : Coifman, Benjamin;Liu, Yuan; Corporate Creator(s) : Ohio State University. Department of Civil and Environmental Engineering and Geodetic Science Corporate Contributor(s) : Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC);United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2026-08-31 Report Number : 575 URL : https://rosap.ntl.bts.gov/view/dot/93512
Coifman, B., & Liu, Y. (2026). Safe and Efficient Automated Freeway Traffic Control-Phase 3 Final Report (Report No. 575). Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/93512

Coifman, Benjamin and Yuan Liu. Safe and Efficient Automated Freeway Traffic Control-Phase 3 Final Report. Report no. 575. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026. https://rosap.ntl.bts.gov/view/dot/93512.

Coifman, Benjamin, and Yuan Liu Safe and Efficient Automated Freeway Traffic Control-Phase 3 Final Report. Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC), 2026, Report no. 575, ROSA P. https://rosap.ntl.bts.gov/view/dot/93512.
Export RIS Citation Information. TY - Tech Report AU - Coifman, Benjamin AU - Liu, Yuan A2 - Ohio State University. Department of Civil and Environmental Engineering and Geodetic Science A3 - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology AB - The goal of this work is to eliminate unexpected stops to improve safety with the added benefit of reducing accelerations to improve fuel efficiency. Congested traffic is characterized by signals and waves propagating upstream through the queued traffic. Freeway drivers do not expect to encounter abrupt drops in speed or stopped traffic, as a result, shockwaves sharply increase the accident rates, particularly in the context of rear end collisions. This work seeks to use connected and automated vehicles (CAV) to smooth out traffic disturbances on a freeway. Prior work in Phase 1 developed a method for a single CAV to integrate the instantaneous state information from the downstream vehicles to forecast the trajectory of the CAV's leader and proactively respond to changes in state that have not yet reached the lead vehicle. Phase 2, extended the methodology to a platoon of 15 CAV's, leading to greater smoothing than the single CAV results. This study, Phase 3, extended the methodology to address several key aspects. First, to use multiple platoons to buffer against capacity fluctuations and provide finer control. Second, extending the methodology to accommodate lane change maneuvers so that they do not disrupt platoons. Third, develop contingency plans to accommodate situations when the state evolution deviates from forecasts. In this way, the research anticipates and develops the management strategies needed to maintain smoothly flowing queued traffic with CAV's. AN - dot:93512 DA - 2026-08-31 ET - Final Report (July 1, 2025 - July 31, 2026) KW - Connected vehicles KW - Intelligent vehicles KW - Freeway management systems KW - Traffic congestion KW - Traffic safety KW - Highway capacity KW - Lane changing KW - Rear end crashes KW - Traffic control KW - Traffic platooning KW - Vehicle trajectories KW - Vehicles and equipment KW - Highways KW - Autonomous vehicles KW - Operations and Traffic Management KW - Planning and Forecasting KW - Freeway Traffic KW - Stop Waves LA - English PB - Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) PY - 2026 SN - 575 TI - Safe and Efficient Automated Freeway Traffic Control-Phase 3 Final Report M3 - Tech Report N1 - United States N1 - 69A3552344811 DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93512 ER -
Cross-Asset Resource Allocation and Multi-Objective Decision Analysis Literature Review

Sydoriak, Jason ;

Lamoureux, Katie

2022-09-01 | PDF

This report documents the results of a literature review on the topics of Cross-Asset Resource Allocation (CARA) and Multi-Objective Decision Analysis (MODA). This literature review is intended to be used as an educational resource for transportation agencies and practitioners, providing a general/fundamental understanding of CARA and MODA. This re ...

09/21/2026

Title : Cross-Asset Resource Allocation and Multi-Objective Decision Analysis Literature Review Creator(s) : Sydoriak, Jason;Lamoureux, Katie; Corporate Creator(s) : John A. Volpe National Transportation Systems Center (U.S.) Corporate Contributor(s) : United States. Department of Transportation. Federal Highway Administration. Office of Planning Contributor(s) : Davis, Corbin;Call, Steven; Published Date : 2022-09-01 Report Number : FHWA-HEP-22-028 URL : https://rosap.ntl.bts.gov/view/dot/93511
Sydoriak, J., & Lamoureux, K. (2022). Cross-Asset Resource Allocation and Multi-Objective Decision Analysis Literature Review (Report No. FHWA-HEP-22-028). United States. Department of Transportation. Federal Highway Administration. Office of Planning. https://rosap.ntl.bts.gov/view/dot/93511

Sydoriak, Jason and Katie Lamoureux. Cross-Asset Resource Allocation and Multi-Objective Decision Analysis Literature Review. Report no. FHWA-HEP-22-028. United States. Department of Transportation. Federal Highway Administration. Office of Planning, 2022. https://rosap.ntl.bts.gov/view/dot/93511.

Sydoriak, Jason, and Katie Lamoureux Cross-Asset Resource Allocation and Multi-Objective Decision Analysis Literature Review. United States. Department of Transportation. Federal Highway Administration. Office of Planning, 2022, Report no. FHWA-HEP-22-028, ROSA P. https://rosap.ntl.bts.gov/view/dot/93511.
Export RIS Citation Information. TY - Tech Report AU - Sydoriak, Jason AU - Lamoureux, Katie A2 - John A. Volpe National Transportation Systems Center (U.S.) A3 - United States. Department of Transportation. Federal Highway Administration. Office of Planning AB - This report documents the results of a literature review on the topics of Cross-Asset Resource Allocation (CARA) and Multi-Objective Decision Analysis (MODA). This literature review is intended to be used as an educational resource for transportation agencies and practitioners, providing a general/fundamental understanding of CARA and MODA. This report also suggests additional research areas for further study, makes references to ongoing CARA and MODA efforts, and highlights tools and resources that are available to advance the state of the practice. The literature review does not document the universe of research on these topics; instead, this report aims to summarize a selection of relevant, noteworthy resources in order to provide an overview of CARA and MODA, and how they may be used by transportation agencies as part of their performance-driven programming processes. AN - dot:93511 DA - 2022-09-01 ET - Final Report KW - Decision making KW - Multiple criteria decision making KW - Transportation planning KW - Asset management KW - Performance measurement KW - Resource allocation KW - Plan implementation LA - English PB - United States. Department of Transportation. Federal Highway Administration. Office of Planning PY - 2022 SN - FHWA-HEP-22-028 TI - Cross-Asset Resource Allocation and Multi-Objective Decision Analysis Literature Review M3 - Tech Report N1 - United States N1 - 51HW2LA500 - UK201, VK201 DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93511 ER -
Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 50, Data Complete Through 9/11/2026

United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information

2026-09-16 | Special Issue - Weekly Motor Fuel Report | PDF

The Gasoline Product Supplied report offers insight on weekly fluctuation of the gasoline product supply, which is an important part of any analysis of construction trends, materials and operating costs associated with highway repair and construction, and changes in traffic volume. These data come directly from the Energy Information Administration ...

09/21/2026

Title : Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 50, Data Complete Through 9/11/2026 Corporate Creator(s) : United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Published Date : 2026-09-16 Series : Special Issue - Weekly Motor Fuel Report URL : https://rosap.ntl.bts.gov/view/dot/93510
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information (2026). Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 50, Data Complete Through 9/11/2026. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. https://rosap.ntl.bts.gov/view/dot/93510

United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 50, Data Complete Through 9/11/2026. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2026. https://rosap.ntl.bts.gov/view/dot/93510.

United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 50, Data Complete Through 9/11/2026. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2026, ROSA P. https://rosap.ntl.bts.gov/view/dot/93510.
Export RIS Citation Information. TY - Statistical Report A2 - United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information AB - The Gasoline Product Supplied report offers insight on weekly fluctuation of the gasoline product supply, which is an important part of any analysis of construction trends, materials and operating costs associated with highway repair and construction, and changes in traffic volume. These data come directly from the Energy Information Administration (EIA) website. The EIA publishes the average daily amount of gasoline supplied in barrels, which HPPI converts to an average number of gallons of gasoline per week. AN - dot:93510 DA - 2026-09-16 KW - Fuel consumption KW - Gasoline KW - Supply KW - Traffic volume KW - Data collection KW - Data analysis LA - English PB - United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information PY - 2026 T2 - Special Issue - Weekly Motor Fuel Report TI - Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 50, Data Complete Through 9/11/2026 M3 - Statistical Report N1 - United States DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93510 ER -
Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 49, Data Complete Through 9/4/2026

United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information

2026-09-10 | Special Issue - Weekly Motor Fuel Report | PDF

The Gasoline Product Supplied report offers insight on weekly fluctuation of the gasoline product supply, which is an important part of any analysis of construction trends, materials and operating costs associated with highway repair and construction, and changes in traffic volume. These data come directly from the Energy Information Administration ...

09/21/2026

Title : Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 49, Data Complete Through 9/4/2026 Corporate Creator(s) : United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Published Date : 2026-09-10 Series : Special Issue - Weekly Motor Fuel Report URL : https://rosap.ntl.bts.gov/view/dot/93509
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information (2026). Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 49, Data Complete Through 9/4/2026. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. https://rosap.ntl.bts.gov/view/dot/93509

United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 49, Data Complete Through 9/4/2026. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2026. https://rosap.ntl.bts.gov/view/dot/93509.

United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 49, Data Complete Through 9/4/2026. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2026, ROSA P. https://rosap.ntl.bts.gov/view/dot/93509.
Export RIS Citation Information. TY - Statistical Report A2 - United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information AB - The Gasoline Product Supplied report offers insight on weekly fluctuation of the gasoline product supply, which is an important part of any analysis of construction trends, materials and operating costs associated with highway repair and construction, and changes in traffic volume. These data come directly from the Energy Information Administration (EIA) website. The EIA publishes the average daily amount of gasoline supplied in barrels, which HPPI converts to an average number of gallons of gasoline per week. AN - dot:93509 DA - 2026-09-10 KW - Fuel consumption KW - Gasoline KW - Supply KW - Traffic volume KW - Data collection KW - Data analysis LA - English PB - United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information PY - 2026 T2 - Special Issue - Weekly Motor Fuel Report TI - Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 49, Data Complete Through 9/4/2026 M3 - Statistical Report N1 - United States DB - ROSA P UR - https://rosap.ntl.bts.gov/view/dot/93509 ER -

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