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.
The main purpose of this study is to evaluate a smartphone-based app called “TravelSafely” developed by Temple/AI. This app has the capability to alert drivers if they exceed a given speed threshold in an active school zone or when they are approaching a cyclist and a collision is possible. We collected trajectory and eye tracking data from 50 part
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Jain, E., Srinivasan, S., John, B., Adorno, P., Surampudi, S., Mahajan, T., Chopra, M., Domas, T., Ankomah, M., & Letter, C. (2020). Evaluation of Intelligent School Zone Beacon and Vehicle-Cyclist Detection and Warning System. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/63011
Jain, Eakta, Sivaramakrishnan Srinivasan, Brendan John, Pedro Adorno, Srividya Surampudi, Tushar Mahajan, Manish Chopra, Thomas Domas, Marian Ankomah, and Clark Letter. Evaluation of Intelligent School Zone Beacon and Vehicle-Cyclist Detection and Warning System. Florida. Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/63011.
Jain, Eakta, et al. Evaluation of Intelligent School Zone Beacon and Vehicle-Cyclist Detection and Warning System. Florida. Department of Transportation, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/63011.
In recent years, risk-based management of infrastructure assets has gained predominance in infrastructure asset management. The Moving Ahead for Progress in the 21st Century Act (MAP–21), in alignment with this, has required state transportation agencies to incorporate risk-based management into their planning for systematic preventative maintenanc
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Shahrebabaki, M. M., Bektas, B., & Smadi, O. (2020). Managing Network-Level Scour Risks for Iowa Bridges. Iowa State University. Institute for Transportation. https://rosap.ntl.bts.gov/view/dot/55770
Shahrebabaki, Mehrdad Morshedi, Basak Bektas, and Omar Smadi. Managing Network-Level Scour Risks for Iowa Bridges. Iowa State University. Institute for Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/55770.
Shahrebabaki, Mehrdad Morshedi, et al. Managing Network-Level Scour Risks for Iowa Bridges. Iowa State University. Institute for Transportation, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/55770.
Travel-time reliability (TTR), which significantly influences people’s travel experience and costs, is an important indicator in evaluating the performance of the transportation system, especially the freeway network. To evaluate TTR of transportation systems and incorporate TTR into the planning and programming process, the SHRP2 program previousl
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Chen, Z., & Liu, X. C. (2020). Travel-Time Reliability Data and Analysis Tools: Utah Pilot Tests (SHRP2 L38 IAP Round 7, including L02, L05, L08) (Report No. UT-20.21). Utah. Dept. of Transportation. Research Division. https://rosap.ntl.bts.gov/view/dot/68713
Chen, Zhuo and Xiaoyue Cathy Liu. Travel-Time Reliability Data and Analysis Tools: Utah Pilot Tests (SHRP2 L38 IAP Round 7, including L02, L05, L08). Report no. UT-20.21. Utah. Dept. of Transportation. Research Division, 2020. https://rosap.ntl.bts.gov/view/dot/68713.
Chen, Zhuo, and Xiaoyue Cathy Liu Travel-Time Reliability Data and Analysis Tools: Utah Pilot Tests (SHRP2 L38 IAP Round 7, including L02, L05, L08). Utah. Dept. of Transportation. Research Division, 2020, Report no. UT-20.21, ROSA P. https://rosap.ntl.bts.gov/view/dot/68713.
The transportation sector is responsible for a significant part of the U.S.’s greenhouse emissions, with a considerable amount being generated by medium- and heavy-duty trucks. However, when it comes to the trucking industry, ‘green’ routing studies do not consider other critical practical factors, like working hours regulations and parking availab
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Vital, F. d. A. A., & Ioannou, P. (2020). Optimizing Fuel Consumption and Pollutant Emissions in Truck Routing with Parking Availability Prediction and Working Hours Constraints (Report No. NCST-USC-RR-22-12). National Center for Sustainable Transportation (NCST) (UTC). https://doi.org/10.7922/G2S75DPP
Vital, Filipe de Almeida Araujo and Petros Ioannou. Optimizing Fuel Consumption and Pollutant Emissions in Truck Routing with Parking Availability Prediction and Working Hours Constraints. Report no. NCST-USC-RR-22-12. National Center for Sustainable Transportation (NCST) (UTC), 2020. https://doi.org/10.7922/G2S75DPP.
Vital, Filipe de Almeida Araujo, and Petros Ioannou Optimizing Fuel Consumption and Pollutant Emissions in Truck Routing with Parking Availability Prediction and Working Hours Constraints. National Center for Sustainable Transportation (NCST) (UTC), 2020, Report no. NCST-USC-RR-22-12, ROSA P. https://doi.org/10.7922/G2S75DPP.
The objective of this project was to examine prevailing operating speeds on a large scale to determine how speed and speed differentials interact with roadway characteristics to influence the likelihood of crashes. The project team conducted three major tasks: (a) developed conflated databases for Ohio and Washington by incorporating the Highway Sa
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Supporting Files
Das, S., Geedipally, S., Avelar, R., Wu, L., Fitzpatrick, K., Banihashemi, M., & Lord, D. (2020). Rural Speed Safety Project for USDOT Safety Data Initiative: Summary Report. Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/48840
Das, Subasish, Srinivas Geedipally, Raul Avelar, Lingtao Wu, Kay Fitzpatrick, Mohamadreza Banihashemi, and Dominique Lord. Rural Speed Safety Project for USDOT Safety Data Initiative: Summary Report. Texas A&M Transportation Institute, 2020. https://rosap.ntl.bts.gov/view/dot/48840.
Das, Subasish, et al. Rural Speed Safety Project for USDOT Safety Data Initiative: Summary Report. Texas A&M Transportation Institute, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/48840.
The payment awarded to a Contractor for production and placement of asphalt mixes under Specification Items 341, 344, and 346 involves a payment adjustment factor that either awards a bonus or assigns a penalty to the base payment depending on the test results for laboratory-molded density (production) and in-place air voids (placement or construct
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Rahman, S., Bhasin, A., Zhang, Z., & Smit, A. (2020). Evaluate the Use of PWL As Payment Adjustment Factor for Asphalt Mixtures (Report No. FHWA/TX-20/0-6967-1). Texas Department of Transportation. Research and Technology Implementation Office. https://rosap.ntl.bts.gov/view/dot/54683
Rahman, Syeda, Amit Bhasin, Zhanmin Zhang, and Andre Smit. Evaluate the Use of PWL As Payment Adjustment Factor for Asphalt Mixtures. Report no. FHWA/TX-20/0-6967-1. Texas Department of Transportation. Research and Technology Implementation Office, 2020. https://rosap.ntl.bts.gov/view/dot/54683.
Rahman, Syeda, et al. Evaluate the Use of PWL As Payment Adjustment Factor for Asphalt Mixtures. Texas Department of Transportation. Research and Technology Implementation Office, 2020, Report no. FHWA/TX-20/0-6967-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/54683.
This report summarizes the results of a research project that was conducted to identify and evaluate the cost-effectiveness of alternative repair mixtures and methods and their combination that can be used to improve the performance and service life of partial depth repairs performed on Amish buggy routes in Ohio, and identify all possible changes
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Nazzal, M. D., Kim, S. S., Abbas, A., Lopez, M., Saqer, H., & Alkhasweneh, M. (2020). Evaluation of Partial Depth Pavement Repairs on Routes Heavily Traveled by Amish Horse and Buggies-Phase 2 (Report No. FHWA/OH-2020-7). Ohio. Dept. of Transportation. Office of Statewide Planning and Research. https://rosap.ntl.bts.gov/view/dot/64558
Nazzal, Munir D., Sang Soo Kim, Ala Abbas, Mandi Lopez, Hamzeh Saqer, and Mohammad Alkhasweneh. Evaluation of Partial Depth Pavement Repairs on Routes Heavily Traveled by Amish Horse and Buggies-Phase 2. Report no. FHWA/OH-2020-7. Ohio. Dept. of Transportation. Office of Statewide Planning and Research, 2020. https://rosap.ntl.bts.gov/view/dot/64558.
Nazzal, Munir D., et al. Evaluation of Partial Depth Pavement Repairs on Routes Heavily Traveled by Amish Horse and Buggies-Phase 2. Ohio. Dept. of Transportation. Office of Statewide Planning and Research, 2020, Report no. FHWA/OH-2020-7, ROSA P. https://rosap.ntl.bts.gov/view/dot/64558.
The purpose of this UDOT research project was to investigate and determine the reasons for premature deterioration of the geogrid-reinforced pavement system on the section of SR-10 between Muddy Creek and Emery, Utah. The statistical analyses and evaluations indicate that the structural design of the primary pavement system was adequate as the stif
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Burns, H., Lawton, E. C., & Romero, P. (2020). Forensic Evaluation of Geogrid-Reinforced Flexible Pavement Sections on SR-10 Near Emery, Utah (Report No. UT-20.05). Utah. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/59856
Burns, Henrik, Evert C. Lawton, and Pedro Romero. Forensic Evaluation of Geogrid-Reinforced Flexible Pavement Sections on SR-10 Near Emery, Utah. Report no. UT-20.05. Utah. Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/59856.
Burns, Henrik, et al. Forensic Evaluation of Geogrid-Reinforced Flexible Pavement Sections on SR-10 Near Emery, Utah. Utah. Department of Transportation, 2020, Report no. UT-20.05, ROSA P. https://rosap.ntl.bts.gov/view/dot/59856.
Traffic congestion at a signalized intersection greatly reduces the travel time reliability in urban areas. Adaptive signal control system (ASCS) is an advanced traffic signal control technology that regulates the signal phasing and timings considering the traffic patterns in real-time in order to reduce traffic congestion. Real-time prediction of
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DatasetSupporting Files
Comert, G., Chowdhury, M., Rahman, M., & Khan, M. Z. (2020). Adaptive Signal Control Algorithms for Connected Vehicles [supporting dataset]. Center for Connected Multimodal Mobility, Clemson University. https://rosap.ntl.bts.gov/view/dot/57033
Comert, Gurcan, Mashrur Chowdhury, Mizanur Rahman, and Md Zadid Khan. Adaptive Signal Control Algorithms for Connected Vehicles [supporting dataset]. Center for Connected Multimodal Mobility, Clemson University, 2020. https://rosap.ntl.bts.gov/view/dot/57033.
Comert, Gurcan, et al. Adaptive Signal Control Algorithms for Connected Vehicles [supporting dataset]. Center for Connected Multimodal Mobility, Clemson University, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/57033.
Interstate 80, in Wyoming, is characterized by heavy truck traffic, with an average of 47 percent of heavy trucks in the traffic flow. Trucks have significantly different physical and driving characteristics than passenger cars, especially on grades, which has impacts on operational efficiency and safety. The presence of heavy vehicles reduces the
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Zlatkovic, M., Ksaibati, K., & Tahmidul Haq, M. (2020). Safety and Operational Analysis with Mitigation Strategies for Freeway Truck Traffic in Wyoming (Report No. WY-2002F). Wyoming. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/53880
Zlatkovic, Milan, Khaled Ksaibati, and Muhammad Tahmidul Haq. Safety and Operational Analysis with Mitigation Strategies for Freeway Truck Traffic in Wyoming. Report no. WY-2002F. Wyoming. Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/53880.
Zlatkovic, Milan, et al. Safety and Operational Analysis with Mitigation Strategies for Freeway Truck Traffic in Wyoming. Wyoming. Department of Transportation, 2020, Report no. WY-2002F, ROSA P. https://rosap.ntl.bts.gov/view/dot/53880.
With the adoption of the American Association of State Highway and Transportation Officials (AASHTO)/Federal Highway Administration (FHWA) Joint Implementation Agreement for Manual for Assessing Safety Hardware (MASH) in 2015, originally all transition systems for projects on the National Highway System advertised for construction after December 31
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Dobrovolny, C. S., Schulz, N. D., Bligh, R. P., Menges, W. L., Schroeder, G. E., & Kuhn, D. L. (2020). Mash TL-3 Full Scale Crash Testing and Evaluation of Transition From 32-Inch Tall Weak Post Guardrail System to MGS Strong Post System (Report No. 612051-4). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/57005
Dobrovolny, Chiara Silvestri, Nathan D. Schulz, Roger P. Bligh, Wanda L. Menges, Glenn E. Schroeder, and Darrell L. Kuhn. Mash TL-3 Full Scale Crash Testing and Evaluation of Transition From 32-Inch Tall Weak Post Guardrail System to MGS Strong Post System. Report no. 612051-4. Texas A&M Transportation Institute, 2020. https://rosap.ntl.bts.gov/view/dot/57005.
Dobrovolny, Chiara Silvestri, et al. Mash TL-3 Full Scale Crash Testing and Evaluation of Transition From 32-Inch Tall Weak Post Guardrail System to MGS Strong Post System. Texas A&M Transportation Institute, 2020, Report no. 612051-4, ROSA P. https://rosap.ntl.bts.gov/view/dot/57005.
Seal coat is a layer of asphalt binder with a layer of aggregate applied over a pavement. The purpose of a seal coat is to seal the pavement from air and water intrusion while providing the safety benefits of maintaining sufficient friction over the seal coat’s design life. With an investment of over $300,000,000 annually, it is imperative to const
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Goehl, D. C., Estakhri, C., & Park, E. S. (2020). Texas Seal Coat Design Method (Report No. FHWA/TX-20/0-6989-R1). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/64452
Goehl, Darlene C, Cindy Estakhri, and Eun Sug Park. Texas Seal Coat Design Method. Report no. FHWA/TX-20/0-6989-R1. Texas A&M Transportation Institute, 2020. https://rosap.ntl.bts.gov/view/dot/64452.
Goehl, Darlene C, et al. Texas Seal Coat Design Method. Texas A&M Transportation Institute, 2020, Report no. FHWA/TX-20/0-6989-R1, ROSA P. https://rosap.ntl.bts.gov/view/dot/64452.
The State Highway 9 (SH 9) Colorado River South Wildlife & Safety Improvement Project installed seven large wildlife crossing structures and 10.4 miles of wildlife exclusion fence between Kremmling and Green Mountain Reservoir in Grand County, Colorado. The project was designed to improve driver safety while providing permeability for wildlife acro
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Kintsch, J., Cramer, P., Singer, P., Cowardin, M., & Phelan, J. (2020). State Highway 9 Wildlife Crossings Monitoring – Year 4 Progress Report (Report No. 115.01). Colorado Department of Transportation. Applied Research & Innovations Branch. https://rosap.ntl.bts.gov/view/dot/88631
Kintsch, Julia, Patricia Cramer, Paige Singer, Michelle Cowardin, and Joy Phelan. State Highway 9 Wildlife Crossings Monitoring – Year 4 Progress Report. Report no. 115.01. Colorado Department of Transportation. Applied Research & Innovations Branch, 2020. https://rosap.ntl.bts.gov/view/dot/88631.
Kintsch, Julia, et al. State Highway 9 Wildlife Crossings Monitoring – Year 4 Progress Report. Colorado Department of Transportation. Applied Research & Innovations Branch, 2020, Report no. 115.01, ROSA P. https://rosap.ntl.bts.gov/view/dot/88631.
This research focuses on automated processing of video from a persistent surveillance camera array to extract traffic data from a 25 square mile area. In previous research, we developed an automated traffic surveillance system capable of processing aerial camera array imagery to extract valid and useful traffic data for diverse applications. In thi
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DatasetSupporting Files
Sarasua, W. A., Zhao, X., & Davis, W. J. (2020). Active Traffic Monitoring Through Large Scale Processing of Aerial Camera Array Networks [supporting dataset]. Center for Connected Multimodal Mobility, Clemson University. https://rosap.ntl.bts.gov/view/dot/57034
Sarasua, Wayne A., Xi Zhao, and William J. Davis. Active Traffic Monitoring Through Large Scale Processing of Aerial Camera Array Networks [supporting dataset]. Center for Connected Multimodal Mobility, Clemson University, 2020. https://rosap.ntl.bts.gov/view/dot/57034.
Sarasua, Wayne A., et al. Active Traffic Monitoring Through Large Scale Processing of Aerial Camera Array Networks [supporting dataset]. Center for Connected Multimodal Mobility, Clemson University, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/57034.
State transportation agencies and Metropolitan Planning Organizations (MPOs) seek to improve access to employment, health care and other essential needs and services for vulnerable or at-risk populations. Purpose and need statements trigger the planning process for projects leading to increased mobility. The designation of purpose and need for rura
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Lewis, C. A., Goodwin, G., Robin-Stout, M., & Rogers, B. (2020). Application of the Equity Rubric for Purpose and Need to a Demonstration Corridor in the Texas Megaregion (Report No. CM2 – 7). University of Texas at Austin. Cooperative Mobility for Competitive Megaregions. https://rosap.ntl.bts.gov/view/dot/54765
Lewis, Carol Abel, Gwendolyn Goodwin, Marcia Robin-Stout, and Brandon Rogers. Application of the Equity Rubric for Purpose and Need to a Demonstration Corridor in the Texas Megaregion. Report no. CM2 – 7. University of Texas at Austin. Cooperative Mobility for Competitive Megaregions, 2020. https://rosap.ntl.bts.gov/view/dot/54765.
Lewis, Carol Abel, et al. Application of the Equity Rubric for Purpose and Need to a Demonstration Corridor in the Texas Megaregion. University of Texas at Austin. Cooperative Mobility for Competitive Megaregions, 2020, Report no. CM2 – 7, ROSA P. https://rosap.ntl.bts.gov/view/dot/54765.
Accelerated bridge construction (ABC) is a solution for upgrading substandard bridges that reduces construction and closure times and minimizes exposure of the traveling public and road workers to construction activities. To take full advantage of the benefits of ABC, agencies should decide which projects are appropriate for ABC and which procureme
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Supporting Files
Freeseman, K., Shane, J. S., & Volk, M. (2020). Delivery Methods for Accelerated Bridge Construction Projects: Case Studies and Consensus Building (Report No. ABC-UTC-2016-C1-ISU01). Iowa State University. Bridge Engineering Center. https://doi.org/10.34703/gzx1-9v95/RBMFYX
Freeseman, Katelyn, Jennifer S. Shane, and Michael Volk. Delivery Methods for Accelerated Bridge Construction Projects: Case Studies and Consensus Building. Report no. ABC-UTC-2016-C1-ISU01. Iowa State University. Bridge Engineering Center, 2020. https://doi.org/10.34703/gzx1-9v95/RBMFYX.
Freeseman, Katelyn, et al. Delivery Methods for Accelerated Bridge Construction Projects: Case Studies and Consensus Building. Iowa State University. Bridge Engineering Center, 2020, Report no. ABC-UTC-2016-C1-ISU01, ROSA P. https://doi.org/10.34703/gzx1-9v95/RBMFYX.
University of Florida researchers identified a more efficient multi-scale roadway network that will enable effective information sharing between the statewide travel demand models and district or local models, while preserving the detailed information provided by the finer network segmentation
Bejleri, I. (2020). Toward a More Efficient Network Structure for Travel Demand Modeling [Summary]. Florida Department of Transportation. https://rosap.ntl.bts.gov/view/dot/64483
Bejleri, Ilir. Toward a More Efficient Network Structure for Travel Demand Modeling [Summary]. Florida Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/64483.
Bejleri, Ilir Toward a More Efficient Network Structure for Travel Demand Modeling [Summary]. Florida Department of Transportation, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/64483.
Vibration compaction is the most effective way of compacting coarse-grained materials. The effects of vibration frequency and amplitude on the compaction density of different backfill materials commonly used by INDOT (No. 4 natural sand, No. 24 stone sand, and No. 5, No. 8, No. 43 aggregates) were studied in this research. The test materials were c
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Rahman, S., Salgado, R., Prezzi, M., & Becker, P. J. (2020). Improvement of Stiffness and Strength of Backfill Soils Through Optimization of Compaction Procedures and Specifications (Report No. FHWA/IN/JTRP-2020/16). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317134
Rahman, Shahedur, Rodrigo Salgado, Monica Prezzi, and Peter J. Becker. Improvement of Stiffness and Strength of Backfill Soils Through Optimization of Compaction Procedures and Specifications. Report no. FHWA/IN/JTRP-2020/16. Purdue University. Joint Transportation Research Program, 2020. https://doi.org/10.5703/1288284317134.
Rahman, Shahedur, et al. Improvement of Stiffness and Strength of Backfill Soils Through Optimization of Compaction Procedures and Specifications. Purdue University. Joint Transportation Research Program, 2020, Report no. FHWA/IN/JTRP-2020/16, ROSA P. https://doi.org/10.5703/1288284317134.
This research project focuses on the applications of data science, machine learning, and big data analytics in the construction, maintenance and performance of the underground transportation infrastructure. The first objective is to develop advanced data mining and novel machine learning based methods for predicting or detecting ground conditions u
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Pourhomayoun, M., Nagrecha, K., Mazari, M., & Rodriguez-Nikl, T. (2020). The Applications of Data Science and Big Data Analytics in Underground Transportation Infrastructure (Report No. Report No. UTC-UTI-008). University Transportation Center for Underground Transportation Infrastructure (UTC). https://doi.org/10.5281/zenodo.4713308
Pourhomayoun, Mohammad, Kabir Nagrecha, Mehran Mazari, and Tonatiuh Rodriguez-Nikl. The Applications of Data Science and Big Data Analytics in Underground Transportation Infrastructure. Report no. Report No. UTC-UTI-008. University Transportation Center for Underground Transportation Infrastructure (UTC), 2020. https://doi.org/10.5281/zenodo.4713308.
Pourhomayoun, Mohammad, et al. The Applications of Data Science and Big Data Analytics in Underground Transportation Infrastructure. University Transportation Center for Underground Transportation Infrastructure (UTC), 2020, Report no. Report No. UTC-UTI-008, ROSA P. https://doi.org/10.5281/zenodo.4713308.
This study developed an advanced decentralized transit signal priority (TSP) system using a cycle-free Nash bargaining (NB) signal control system. TSP is recognized as an innovative technology solution capable of enhancing traditional transit services. TPS allows transit vehicles to utilize additional or alternative green time to clear the intersec
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Abdelghaffar, H., Ahn, K., & Rakha, H. A. (2020). Developing a Connected Vehicle Transit Signal Priority System [Final Report - Part 1] (Report No. UMEC-011). Urban Mobility & Equity Center. https://rosap.ntl.bts.gov/view/dot/55536
Abdelghaffar, Hossam, Kyoungho Ahn, and Hesham A. Rakha. Developing a Connected Vehicle Transit Signal Priority System [Final Report - Part 1]. Report no. UMEC-011. Urban Mobility & Equity Center, 2020. https://rosap.ntl.bts.gov/view/dot/55536.
Abdelghaffar, Hossam, et al. Developing a Connected Vehicle Transit Signal Priority System [Final Report - Part 1]. Urban Mobility & Equity Center, 2020, Report no. UMEC-011, ROSA P. https://rosap.ntl.bts.gov/view/dot/55536.
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