The US Transportation Collection consists of documents from across all transportation modes with specific focus on research reports from US DOT, state DOTs, and other transportation organizations.
Bookmark this collection: https://rosap.ntl.bts.gov/collection_ust or https://doi.org/10.21949/1530857.
Laser scanning of transportation aggregate materials provides a means to identify aggregate types, sources, and quality in near real-time. The Transportation Pooled Fund (TPF) effort described in this report began as a sequel to a TRB IDEA Program proof of concept laboratory study in 2012, and culminated in the development of the first commercial l
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Kansas. Department of Transportation (2022). Utilization of Laser Induced Breakdown Spectroscopy (LIBS) for Real-Time Testing and Quality Control Monitoring of Aggregate Materials used in Highway Construction [Technical Summary] (Report No. FHWA-KS-22-05). Kansas. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/62648
Kansas. Department of Transportation. Utilization of Laser Induced Breakdown Spectroscopy (LIBS) for Real-Time Testing and Quality Control Monitoring of Aggregate Materials used in Highway Construction [Technical Summary]. Report no. FHWA-KS-22-05. Kansas. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/62648.
Kansas. Department of Transportation Utilization of Laser Induced Breakdown Spectroscopy (LIBS) for Real-Time Testing and Quality Control Monitoring of Aggregate Materials used in Highway Construction [Technical Summary]. Kansas. Department of Transportation, 2022, Report no. FHWA-KS-22-05, ROSA P. https://rosap.ntl.bts.gov/view/dot/62648.
A pilot routine in-service performance evaluation (ISPE) was undertaken for guardrail terminals following the process outlined in NCHRP 22-33. Controlled stop, rollover, vehicle mix, and secondary impacts on the roadside and roadway were evaluated as performance measures using data sourced from the Crash Location & Analysis System (CLAS) database a
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Abbott, P., Manchas, B., van Schalkwyk, I., Donahue, J., & Mahugh, J. (2022). Pilot In-service Performance Evaluation of Guardrail Terminals in Washington State (Report No. WA-RD 914.1). Washington (State). Dept. of Transportation. Office of Research and Library Services. https://rosap.ntl.bts.gov/view/dot/66080
Abbott, Paul, Brad Manchas, Ida van Schalkwyk, John Donahue, and Jim Mahugh. Pilot In-service Performance Evaluation of Guardrail Terminals in Washington State. Report no. WA-RD 914.1. Washington (State). Dept. of Transportation. Office of Research and Library Services, 2022. https://rosap.ntl.bts.gov/view/dot/66080.
Abbott, Paul, et al. Pilot In-service Performance Evaluation of Guardrail Terminals in Washington State. Washington (State). Dept. of Transportation. Office of Research and Library Services, 2022, Report no. WA-RD 914.1, ROSA P. https://rosap.ntl.bts.gov/view/dot/66080.
University of South Florida researchers examined MCCS data to determine the relationship of locational, temporal, trip, motorcycle, injury, and contributing crash factors and to develop a basis for informed decision making by FDOT for strategies, countermeasures, and policy.
Florida. Dept. of Transportation. Safety Office (2022). Understanding Florida Motorcycle Crashes and Injury Outcomes Using the Motorcycle Crash Causation Study (MCCS) Dataset [Summary]. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/62740
Florida. Dept. of Transportation. Safety Office. Understanding Florida Motorcycle Crashes and Injury Outcomes Using the Motorcycle Crash Causation Study (MCCS) Dataset [Summary]. Florida. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/62740.
Florida. Dept. of Transportation. Safety Office Understanding Florida Motorcycle Crashes and Injury Outcomes Using the Motorcycle Crash Causation Study (MCCS) Dataset [Summary]. Florida. Department of Transportation, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/62740.
This report describes a collaborative study conducted by the University of Utah Environmental Fluid Dynamics (EFD) Lab in collaboration with Particle Flux Analytics, Inc., Alta Ski Patrol and the Utah Department of Transportation (UDOT). The objectives of the project were to: (1) field test the Differential Emissivity Imaging Disdrometer (DEID) in
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Pardyjak, E., Morrison, T., Meisenheimer, T., Singh, D., Donovan, S., & Garrett, T. (2022). Linking Measurements From a Differential Emissivity Imaging Disdrometer (DEID) To Storm-Snow Instabilities (Report No. CDOT-2022-05). Colorado. Dept. of Transportation. Research Branch. https://rosap.ntl.bts.gov/view/dot/63355
Pardyjak, Eric, Travis Morrison, Trent Meisenheimer, Dhiraj Singh, Spencer Donovan, and Timothy Garrett. Linking Measurements From a Differential Emissivity Imaging Disdrometer (DEID) To Storm-Snow Instabilities. Report no. CDOT-2022-05. Colorado. Dept. of Transportation. Research Branch, 2022. https://rosap.ntl.bts.gov/view/dot/63355.
Pardyjak, Eric, et al. Linking Measurements From a Differential Emissivity Imaging Disdrometer (DEID) To Storm-Snow Instabilities. Colorado. Dept. of Transportation. Research Branch, 2022, Report no. CDOT-2022-05, ROSA P. https://rosap.ntl.bts.gov/view/dot/63355.
State departments of transportation (DOTs) encounter a critical challenge in estimating accurate cost estimates for major lump sum (LS) pay items, such as Traffic Control and Grading Complete, due to incomplete project information during the early stages of project development. To estimate prices for LS pay items, cost estimators and designers in s
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Ashuri, B., Baek, M., & Li, M. (2022). Enhancing the Accuracy of Construction Cost Estimates for Major Lump Sum (LS) Pay Items and Generating a More-Accurate List of Pay Items Throughout the Design Development Process (Report No. FHWA-GA-22-2017). Georgia. Department of Transportation. Office of Performance-Based Management & Research. https://rosap.ntl.bts.gov/view/dot/64453
Ashuri, Baabak, Minsoo Baek, and Mingshu Li. Enhancing the Accuracy of Construction Cost Estimates for Major Lump Sum (LS) Pay Items and Generating a More-Accurate List of Pay Items Throughout the Design Development Process. Report no. FHWA-GA-22-2017. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2022. https://rosap.ntl.bts.gov/view/dot/64453.
Ashuri, Baabak, et al. Enhancing the Accuracy of Construction Cost Estimates for Major Lump Sum (LS) Pay Items and Generating a More-Accurate List of Pay Items Throughout the Design Development Process. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2022, Report no. FHWA-GA-22-2017, ROSA P. https://rosap.ntl.bts.gov/view/dot/64453.
Transportation agencies are tasked with making decisions and taking actions to fight congestion and improve road conditions using the methods and resources available to them. Performance evaluations of traffic conditions at signalized intersections and arterials provide practical data for the agencies to make well-informed decisions for targeted re
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Miao, L., Meleby, P., & Winfrey, C. (2022). Using Big Data and Machine Learning To Evaluate and Rank the Performance of Traffic Signals in Tennessee (Report No. RES2021-09). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/64530
Miao, Lei, Piro Meleby, and Christopher Winfrey. Using Big Data and Machine Learning To Evaluate and Rank the Performance of Traffic Signals in Tennessee. Report no. RES2021-09. Tennessee. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/64530.
Miao, Lei, et al. Using Big Data and Machine Learning To Evaluate and Rank the Performance of Traffic Signals in Tennessee. Tennessee. Department of Transportation, 2022, Report no. RES2021-09, ROSA P. https://rosap.ntl.bts.gov/view/dot/64530.
This project aims to develop a multi-sensor system for vehicle and pedestrian traffic analysis at traffic intersections. The techniques developed as part of this project are used to process data streams from video-camera and LIDAR systems installed at traffic intersections (along with the loop detector data captured by advanced traffic controllers)
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Banerjee, T., Chen, K., Huang, X., He, P., Emami, P., Wu, A., Elefteriadou, L., Rangarajan, A., Srinivasan, S., & Ranka, S. (2022). Bigdata Analytics and Artificial Intelligence for Smart Intersections. Florida Department of Transportation. https://rosap.ntl.bts.gov/view/dot/75114
Banerjee, Tania, Ke Chen, Xiaohui Huang, Pan He, Patrick Emami, Aotian Wu, Lily Elefteriadou, Anand Rangarajan, Siva Srinivasan, and Sanjay Ranka. Bigdata Analytics and Artificial Intelligence for Smart Intersections. Florida Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/75114.
Banerjee, Tania, et al. Bigdata Analytics and Artificial Intelligence for Smart Intersections. Florida Department of Transportation, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/75114.
The research uses publicly available data to develop deep learning models to predict river gauge heights at unmonitored locations in Missouri. The geospatial and rainfall data for 20 different catchment areas of Missouri is used in tandem with the clustering and ensemble deep learning approaches to develop a high-performance deep learning model tha
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Corns, S. M., Long, S. K., Hale, J., Kanwar, B., & Vanfossan, S. (2022). Deep Learning for Unmonitored Water Level Prediction and Risk Assessment (Report No. cmr 22-007). Missouri. Department of Transportation. Construction and Materials Division. https://rosap.ntl.bts.gov/view/dot/63364
Corns, Steven M, Suzanna K Long, Jacob Hale, Bhanu Kanwar, and Samuel Vanfossan. Deep Learning for Unmonitored Water Level Prediction and Risk Assessment. Report no. cmr 22-007. Missouri. Department of Transportation. Construction and Materials Division, 2022. https://rosap.ntl.bts.gov/view/dot/63364.
Corns, Steven M, et al. Deep Learning for Unmonitored Water Level Prediction and Risk Assessment. Missouri. Department of Transportation. Construction and Materials Division, 2022, Report no. cmr 22-007, ROSA P. https://rosap.ntl.bts.gov/view/dot/63364.
The proposed guidelines help determination of the appropriateness of using a specific PCB segment based on existing segment damage modes. These guidelines can be used at several work stages, such as upon delivery to the project site, during initial setup, during phase changes, and periodically throughout the duration of the project.
Dobrovolny, C. S., Bhutani, S., Zalani, A., Bligh, R., Hurlebaus, S., Aldahlki, H., Schroeder, W., & Kuhn, D. L. (2022). Development of Guidelines for Inspection, Repair, and Use of Portable Concrete Barriers [Project Summary] (Report No. 0-7059). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/64688
Dobrovolny, Chiara S, Shristi Bhutani, Aniruddha Zalani, Roger Bligh, Stefan Hurlebaus, Husain Aldahlki, William Schroeder, and Darrell L. Kuhn. Development of Guidelines for Inspection, Repair, and Use of Portable Concrete Barriers [Project Summary]. Report no. 0-7059. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/64688.
Dobrovolny, Chiara S, et al. Development of Guidelines for Inspection, Repair, and Use of Portable Concrete Barriers [Project Summary]. Texas A&M Transportation Institute, 2022, Report no. 0-7059, ROSA P. https://rosap.ntl.bts.gov/view/dot/64688.
The research team started with a thorough review of horizontal curves and their impacts on traffic crashes. This review encompassed the following topics: characteristics of horizontal curves; impacts of horizontal curves on crash risk, frequency, and severity; and factors affecting crashes on horizontal curves. A comprehensive study was then conduc
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Zhang, Z., Xu, Y., Han, Z., & Murphy, M. R. (2022). 0-7050: Improving the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS) [Project Summary] (Report No. 0-7050-1). University of Texas at Austin. Center for Transportation Research. https://rosap.ntl.bts.gov/view/dot/64510
Zhang, Zhanmin, Yang Xu, Zhe Han, and Michael R. Murphy. 0-7050: Improving the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS) [Project Summary]. Report no. 0-7050-1. University of Texas at Austin. Center for Transportation Research, 2022. https://rosap.ntl.bts.gov/view/dot/64510.
Zhang, Zhanmin, et al. 0-7050: Improving the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS) [Project Summary]. University of Texas at Austin. Center for Transportation Research, 2022, Report no. 0-7050-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/64510.
This research was conducted by the University of Tennessee at Chattanooga (UTC) and Middle Tennessee State University (MTSU) in collaboration with Tennessee Department of Transportation (TDOT) and this report summarizes the research effort accomplished the objectives of TDOT Research solicitation RES2020-11 “Performance Evaluation of Full Depth Rec
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Owino, J., Onyango, M., Wu, W., Fomunung, I., Brown, H. J., Dumbiri, O., & Msechu, K. (2022). Performance Evaluation of Full Depth Reclaimed (FDR) Pavements in Tennessee (Report No. RES2020-11). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/62733
Owino, Joseph, Mbakisya Onyango, Weidong Wu, Ignatius Fomunung, Heather J Brown, Odia Dumbiri, and Kelvin Msechu. Performance Evaluation of Full Depth Reclaimed (FDR) Pavements in Tennessee. Report no. RES2020-11. Tennessee. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/62733.
Owino, Joseph, et al. Performance Evaluation of Full Depth Reclaimed (FDR) Pavements in Tennessee. Tennessee. Department of Transportation, 2022, Report no. RES2020-11, ROSA P. https://rosap.ntl.bts.gov/view/dot/62733.
The spliced girder research program conducted as part of TxDOT Project 0-6652 investigated the implications of spliced girder technology and resulted in updating the AASHTO LRFD Bridge Design Specification’s (AASHTO LRFD) General Procedure for shear design, which was originally developed based on the results of small-scale panel tests. However, TxD
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Bayrak, O., Han, S., Zaborac, J., Webb, Z. D., Choi, J., & Ferche, A. C. (2022). Shear Behavior of Spliced Post-tensioned Girders With Ungrouted Tendons [Project Summary] (Report No. 5-6652-01). University of Texas at Austin. Center for Transportation Research. https://rosap.ntl.bts.gov/view/dot/64675
Bayrak, Oguzhan, Sangyoung Han, Jarrod Zaborac, Zachary D Webb, Jongkwon Choi, and Anca C Ferche. Shear Behavior of Spliced Post-tensioned Girders With Ungrouted Tendons [Project Summary]. Report no. 5-6652-01. University of Texas at Austin. Center for Transportation Research, 2022. https://rosap.ntl.bts.gov/view/dot/64675.
Bayrak, Oguzhan, et al. Shear Behavior of Spliced Post-tensioned Girders With Ungrouted Tendons [Project Summary]. University of Texas at Austin. Center for Transportation Research, 2022, Report no. 5-6652-01, ROSA P. https://rosap.ntl.bts.gov/view/dot/64675.
The objective of this study was to determine how many layers of seal coat (i.e., chip seal) can be applied before rumble strip performance is compromised. Seal coat applied for pavement maintenance partially fills existing rumble strips (Figure 1), reducing the levels of noise and vibration and potentially undermining the rumble strip function.
Wilson, B., Jurado, C., Barrett, T. J., Hu, S., Park, E. S., & Pike, A. (2022). Evaluation of the Performance of Rumble Strips on Pavements Where Seal Coats Have Been Applied [Project Summary Report] (Report No. 0-7029). Texas Department of Transportation. Research and Technology Transfer Office. https://rosap.ntl.bts.gov/view/dot/91829
Wilson, Bryan, Camilo Jurado, Timothy J. Barrett, Sheng Hu, Eun Sug Park, and Adam Pike. Evaluation of the Performance of Rumble Strips on Pavements Where Seal Coats Have Been Applied [Project Summary Report]. Report no. 0-7029. Texas Department of Transportation. Research and Technology Transfer Office, 2022. https://rosap.ntl.bts.gov/view/dot/91829.
Wilson, Bryan, et al. Evaluation of the Performance of Rumble Strips on Pavements Where Seal Coats Have Been Applied [Project Summary Report]. Texas Department of Transportation. Research and Technology Transfer Office, 2022, Report no. 0-7029, ROSA P. https://rosap.ntl.bts.gov/view/dot/91829.
Based on the project team's multiple years of research, deployment, and engineering application expertise, this project evaluated the accuracy, reliability, and efficiency of roadside LiDAR sensing and explored various traffic scenarios and applications of roadside LiDAR sensors. This project evaluated the accuracy, reliability, and efficiency of r
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Xu, H., Zhao, J., Liu, H., Tian, Z., Cardillo, C., & Schilling, F. (2022). Proof-of-Concept Research of Roadside LiDAR Sensing Multimodal Traffic (Report No. 744-18-803). Nevada. Dept. of Transportation. https://rosap.ntl.bts.gov/view/dot/64358
Xu, Hao, Junxuan Zhao, Hongchao Liu, Zong Tian, Carlos Cardillo, and Fraser Schilling. Proof-of-Concept Research of Roadside LiDAR Sensing Multimodal Traffic. Report no. 744-18-803. Nevada. Dept. of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/64358.
Xu, Hao, et al. Proof-of-Concept Research of Roadside LiDAR Sensing Multimodal Traffic. Nevada. Dept. of Transportation, 2022, Report no. 744-18-803, ROSA P. https://rosap.ntl.bts.gov/view/dot/64358.
Accelerated pavement test (APT) is defined as the controlled application of a prototype wheel loading at the appropriate load to the full-scale pavement structure, which is used to determine the structural responses and performance of the pavement in a short period. Inverted pavement is an unconventional type of flexible pavement structure. In this
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Huang, B., Jiang, X., & Polaczyk, P. (2022). Utilization of Accelerated Pavement Tester (APT) for New Materials and Pavement Structure Research (Report No. RES # 2019-12). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/64790
Huang, Baoshan, Xi Jiang, and Pawel Polaczyk. Utilization of Accelerated Pavement Tester (APT) for New Materials and Pavement Structure Research. Report no. RES # 2019-12. Tennessee. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/64790.
Huang, Baoshan, et al. Utilization of Accelerated Pavement Tester (APT) for New Materials and Pavement Structure Research. Tennessee. Department of Transportation, 2022, Report no. RES # 2019-12, ROSA P. https://rosap.ntl.bts.gov/view/dot/64790.
Based on the project team's multiple years of research, deployment, and engineering application expertise, this project evaluated the accuracy, reliability, and efficiency of roadside LiDAR sensing and explored various traffic scenarios and applications of roadside LiDAR sensors. This project evaluated the accuracy, reliability, and efficiency of r
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Xu, H., Zhao, J., Liu, H., Tian, Z., Cardillo, C., & Schilling, F. (2022). Proof-of-Concept Research of Roadside LiDAR Sensing Multimodal Traffic (Report No. 744-18-803). Nevada. Dept. of Transportation. https://rosap.ntl.bts.gov/view/dot/64341
Xu, Hao, Junxuan Zhao, Hongchao Liu, Zong Tian, Carlos Cardillo, and Fraser Schilling. Proof-of-Concept Research of Roadside LiDAR Sensing Multimodal Traffic. Report no. 744-18-803. Nevada. Dept. of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/64341.
Xu, Hao, et al. Proof-of-Concept Research of Roadside LiDAR Sensing Multimodal Traffic. Nevada. Dept. of Transportation, 2022, Report no. 744-18-803, ROSA P. https://rosap.ntl.bts.gov/view/dot/64341.
The objective of this project is to evaluate and quantify the impacts and benefits of Freeway Safety Service Patrol (FSSP) and Protect the Queue (PTQ) programs using data-driven analysis. TDOT’s Locate/IM and PTQ daily working reports data are the primary source of this study, which will help better understand the characteristics of incidents. WAZE
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Zhang, H., Gu, Y., Huang, R., & Han, L. D. (2022). Quantify Freeway Safety Service Patrol and Protect the Queue Impact on Transportation Network Reliability (Report No. RES2019-10). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/66928
Zhang, Hairuilong, Yangsong Gu, Ruqin Huang, and Lee D. Han. Quantify Freeway Safety Service Patrol and Protect the Queue Impact on Transportation Network Reliability. Report no. RES2019-10. Tennessee. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/66928.
Zhang, Hairuilong, et al. Quantify Freeway Safety Service Patrol and Protect the Queue Impact on Transportation Network Reliability. Tennessee. Department of Transportation, 2022, Report no. RES2019-10, ROSA P. https://rosap.ntl.bts.gov/view/dot/66928.
In Tennessee, cut rock slopes with exposed discontinuities are often reinforced with grouted steel anchors installed across the discontinuity to stabilize the system by immobilizing the rock material above the sliding surface. These elements resist shear loading rather than function in tension. Yet, the steel bar may bend in cases where the discont
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Palomino, A. M., & Mobley, S. J. (2022). Design Considerations and Limitations of Rock Dowels/Anchors Loaded in Shear (Report No. RES2020-14). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/63160
Palomino, Angelica M. and Sarah J. Mobley. Design Considerations and Limitations of Rock Dowels/Anchors Loaded in Shear. Report no. RES2020-14. Tennessee. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/63160.
Palomino, Angelica M., and Sarah J. Mobley Design Considerations and Limitations of Rock Dowels/Anchors Loaded in Shear. Tennessee. Department of Transportation, 2022, Report no. RES2020-14, ROSA P. https://rosap.ntl.bts.gov/view/dot/63160.
This research project determined how airports could function as connected activity centers. The current state of policy is to treat airports as secluded from the rest of the metropolitan area and only engage in reactive planning in response to specific threats or crises. To seek out other models of airport development, a combination of literature r
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Miller, M. M., Peng, J., Metro, J., & Eskic, D. (2022). Airports as Connected Activity Centers (Report No. UT-22.08). Utah Department of Transportation. https://rosap.ntl.bts.gov/view/dot/62356
Miller, Matthew McKee, Justin Peng, Jolyn Metro, and Dejan Eskic. Airports as Connected Activity Centers. Report no. UT-22.08. Utah Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/62356.
Miller, Matthew McKee, et al. Airports as Connected Activity Centers. Utah Department of Transportation, 2022, Report no. UT-22.08, ROSA P. https://rosap.ntl.bts.gov/view/dot/62356.
Since 1990, VTrans and the Vermont Agency of Natural Resources (VANR) have had an interest in the repurposing of tire byproducts in transportation infrastructure, including the use of shredded whole scrap tires, known as Tire Derived Aggregate (TDA). Vermont’s universal recycling laws have made reliable quantities of material available, though a ma
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Miller, T. (2022). Tire Derived Aggregate for Underdrain Applications - Final Report (Report No. 2020-05). Vermont. Agency of Transportation. https://rosap.ntl.bts.gov/view/dot/64934
Miller, Tanya. Tire Derived Aggregate for Underdrain Applications - Final Report. Report no. 2020-05. Vermont. Agency of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/64934.
Miller, Tanya Tire Derived Aggregate for Underdrain Applications - Final Report. Vermont. Agency of Transportation, 2022, Report no. 2020-05, ROSA P. https://rosap.ntl.bts.gov/view/dot/64934.
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