The Strengthening Mobility and Revolutionizing Transportation (SMART) program was established to provide grants to eligible public sector agencies to conduct demonstration projects focused on advanced smart community technologies and systems in order to improve transportation efficiency and safety. Bookmark this collection: https://rosap.ntl.bts.gov/collection_smart OR https://doi.org/10.21949/xp59-gc26.
The Transit Reliability Improvement and Performance (TRIPS) Stage 1 Data Set contains reports and prototype travel time data generated as the first phase of the TRIPS project. Reports such as the Final Implementation Report, which includes the SEMP, ConOps, and the travel time data from proof-of-concept/protype Route 57. The SEMP defines how the Ce
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Develop a digital, data-driven curb management ecosystem to enable dynamic curbside management and operations. The ecosystem includes integrations to ensure digital curb inventory records are kept updated, and includes a collection of multi-faceted, open-source APIs to communicate to the public and curb users, Minneapolis’ policies and regulations,
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Develop a digital, data-driven curb management ecosystem to enable dynamic curbside management and operations. The ecosystem includes integrations to ensure digital curb inventory records are kept updated, and includes a collection of multi-faceted, open-source APIs to communicate to the public and curb users, Minneapolis’ policies and regulations,
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The datasets contain reports and protype travel time data that were generated as the first phase of the TRIPS project. Reports such as Final Implementation Report, that includes the SEMP, ConOps, and the travel time data from proof-of-concept/protype Route 57. The SEMP defines how the Centralized Transit Signal Priority (TSP) system will be planned
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Develop a digital, data-driven curb management ecosystem to enable dynamic curbside management and operations. The ecosystem includes integrations to ensure digital curb inventory records are kept updated, and includes a collection of multi-faceted, open-source APIs to communicate to the public and curb users, Minneapolis’ policies and regulations,
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The Seattle SMART Grant Digital Commercial Vehicle Permit Project advanced work to provide reliable, modern curb access for commercial delivery vehicles using a collaborative, data driven approach. Short-term goals were to engage with local businesses and commercial delivery users with a Seattle Department of Transportation (SDOT) issued decal to p
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The Seattle SMART Grant Digital Commercial Vehicle Permit Project advanced work to provide reliable, modern curb access for commercial delivery vehicles using a collaborative, data driven approach. Short-term goals were to engage with local businesses and commercial delivery users with a Seattle Department of Transportation (SDOT) issued decal to p
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Prototype a GIS based platform that integrates local infrastructure assets to provide innovative data, monitor asset conditions, and inform technological solutions in Kansas.
This dataset contains annotated images and videos generated from drone-collected bridge inspection imagery used in AI-based defect detection research across four Kansas counties. The files include visual outputs from YOLOv11 instance segmentation models trained to identify and outline eight types of concrete surface defects: Crack, ACrack, Efflores
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The Seattle SMART Grant Digital Commercial Vehicle Permit Project advanced work to provide reliable, modern curb access for commercial delivery vehicles using a collaborative, data driven approach. Short-term goals were to engage with local businesses and commercial delivery users with a Seattle Department of Transportation (SDOT) issued decal to p
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RTC’s Safer, Smarter, Faster smart technology traffic signal project utilized a cloud-based signal timing optimization system that supports transit signal priority (TSP) and enhances safety using artificial intelligence intersection analytics (AIA). The limits for Stage 1 pilot project encompass UMC hospital and downtown Las Vegas. Intersection ana
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We collected and archived operational log messages from ATMA systems deployed in Colorado, Wisconsin, Minnesota, and Oklahoma. The log files are automatically generated by each ATMA’s onboard control computer and record detailed information on system behavior, vehicle dynamics, and navigation status during deployment. The dataset totals approximate
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RTC’s Safer, Smarter, Faster smart technology traffic signal project utilized a cloud-based signal timing optimization system that supports transit signal priority (TSP) and enhances safety using artificial intelligence intersection analytics (AIA). The limits for Stage 1 pilot project encompass UMC hospital and downtown Las Vegas. Intersection ana
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This research project investigates the implementation of advanced vehicle and pedestrian detection technologies to enhance traffic signal operations and safety across high-volume corridors. The primary objectives include improving signal timing, pedestrian crossing efficiency, and truck flow during free-flow conditions. A phased deployment introduc
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Data set for the SMART grant Innovative Transportation Solutions Project. This research project investigates the implementation of advanced vehicle and pedestrian detection technologies to enhance traffic signal operations and safety across high-volume corridors. The primary objectives include improving signal timing, pedestrian crossing efficiency
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This Stage 1 SMART grant project evaluated the feasibility of deploying Network vehicle-to-everything (V2X) architectures to support low-latency applications, such as the red-light violation warning (RLVW) demonstrated by this project, that aim to reduce transportation-related injuries and fatalities and improve mobility for all users. The project
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This document is the final implementation report for the Blue Water Bridge International Smart Freight Corridor Project. It describes the development and findings of the prototype including evaluation, anticipated costs, and benefits, and challenges/lessons learned. It also discusses deployment readiness for at-scale implementation.
This project will implement a proof of concept (POC) prototype of a smart corridor for truck-borne goods movement at the Blue Water Bridge (BWB) in Port Huron, Michigan, and the Port Huron Port of Entry (POE). Data has been provided by the Michigan Department of Transportation (MDOT) and partner agencies, as well as publicly available sources.
The Final Implementation Report illustrates how the proof of concept or prototype performed relative to expectations and evaluates whether a full-scale implementation of the CTSP would meet the SMART Program’s goals. The report includes the System Engineering Management Plan that includes the Draft Verification Plan, Draft Memorandum of Understandi
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This file contains the data, code, and documentation used in the development of the Blue Water Bridge (BWB) International Smart Freight Corridor (ISFC) Prototype. Due to the potential for PII contained, only synthetic data has been made available to the public where PII can potentially be contained in a given dataset.The total size of the ZIP file
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