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.
In the previous tasks we have conducted extensive analysis by the driving simulator and data analytics studies to validate the effects of speed management countermeasures on speed and non-motorist safety. The driving simulator tested the effects of Rectangle Rapid Flashing Beacon (RRFB), Pedestrian Hybrid Beacon (PHB), and speed feedback sign on sp
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Abdel-Aty, M., Ugan, J., & Schoelzel, P. (2022). Improving Multimodal Traffic Safety for Multi-Lane Arterials. University of Central Florida. https://rosap.ntl.bts.gov/view/dot/74735
Abdel-Aty, Mohamad, Jorge Ugan, and Paul Schoelzel. Improving Multimodal Traffic Safety for Multi-Lane Arterials. University of Central Florida, 2022. https://rosap.ntl.bts.gov/view/dot/74735.
Abdel-Aty, Mohamad, et al. Improving Multimodal Traffic Safety for Multi-Lane Arterials. University of Central Florida, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/74735.
Transportation resilience has a multifaceted nature, which requires analyzing various factors across multiple domains (i.e., technical, social, economic, and environmental) for evaluation. However, existing resilience indicators, which are based mainly on the physical conditions of transportation assets, are not comprehensive enough to provide info
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Choi, J., Abdelrazig, Y., Smith, D., Ventimiglia, B., Nickdoost, N., Shooshtari, M. J., Hess, A., & Amalbert, K. (2022). Development of a Resilience Index for the Florida Surface Transportation System. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/73550
Choi, Juyeong, Yassir Abdelrazig, Dennis Smith, Billie Ventimiglia, Navid Nickdoost, Mohammad Javad Shooshtari, Ashton Hess, and Karina Amalbert. Development of a Resilience Index for the Florida Surface Transportation System. Florida. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/73550.
Choi, Juyeong, et al. Development of a Resilience Index for the Florida Surface Transportation System. Florida. Department of Transportation, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/73550.
Autonomous vehicles (AVs) have generated great excitement for the future of transportation. The promise of self-driving vehicles offers a valuable transportation option to those who do not drive, own a car, or are exploring how to get around their community without driving. For older adults, AVs might provide a vital link to shopping, entertainment
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Classen, S. (2022). Develop, Refine, and Validate a Survey to Assess Adult’s Perspectives of Autonomous Ride-Sharing Services [Summary]. Florida. Department of Transportation. Research Center. https://rosap.ntl.bts.gov/view/dot/61850
Classen, Sherrilene. Develop, Refine, and Validate a Survey to Assess Adult’s Perspectives of Autonomous Ride-Sharing Services [Summary]. Florida. Department of Transportation. Research Center, 2022. https://rosap.ntl.bts.gov/view/dot/61850.
Classen, Sherrilene Develop, Refine, and Validate a Survey to Assess Adult’s Perspectives of Autonomous Ride-Sharing Services [Summary]. Florida. Department of Transportation. Research Center, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/61850.
Studying accessibility, including the resilience of city transportation networks, is critical to understand how these networks influence individuals’ mobility and lives. This study developed an analytical research framework to examine the resilience of accessibility to emergency and lifesaving facilities under the threats of natural hazards such as
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Wang, C. H., & Chen, N. (2022). Investigating the Resilience of Accessibility to Emergency and Lifesaving Facilities under Natural Hazards (Report No. 22-21). Mineta Transportation Institute. https://rosap.ntl.bts.gov/view/dot/62353
Wang, Chih-Hao and Na Chen. Investigating the Resilience of Accessibility to Emergency and Lifesaving Facilities under Natural Hazards. Report no. 22-21. Mineta Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/62353.
Wang, Chih-Hao, and Na Chen Investigating the Resilience of Accessibility to Emergency and Lifesaving Facilities under Natural Hazards. Mineta Transportation Institute, 2022, Report no. 22-21, ROSA P. https://rosap.ntl.bts.gov/view/dot/62353.
Monitoring and performance-verification activities of roadway maintenance are labor-intensive tasks and prone to errors. The adoption of unmanned aerial system (UAS) technologies provides an opportunity to improve upon these tasks. This study had the goals of: (1) developing a drone-assisted workflow for pavement maintenance-related tasks, (2) deve
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Irizarry, J., & Rakha, T. (2022). Development of Drone-Assisted Pavement Profile Mapping: Near-Surface Void Detection Application (Report No. FHWA-GA-2010). Georgia. Department of Transportation. Office of Performance-Based Management & Research. https://rosap.ntl.bts.gov/view/dot/63396
Irizarry, Javier and Tarek Rakha. Development of Drone-Assisted Pavement Profile Mapping: Near-Surface Void Detection Application. Report no. FHWA-GA-2010. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2022. https://rosap.ntl.bts.gov/view/dot/63396.
Irizarry, Javier, and Tarek Rakha Development of Drone-Assisted Pavement Profile Mapping: Near-Surface Void Detection Application. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2022, Report no. FHWA-GA-2010, ROSA P. https://rosap.ntl.bts.gov/view/dot/63396.
The Pavement Mechanistic Empirical Design (PMED) method was developed to address shortcomings experienced on the AASHTO Guide for Design of Pavement Structures (1993) including environmental/climate considerations. However, the implementation of PMED requires a large number of design inputs that characterize materials, traffic, and climatic conditi
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Onyango, M., Owino, J., Wu, W., & Msechu, K. (2022). MEPDG Climate Data Input for the State of Tennessee (Report No. RES2020-13). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/62816
Onyango, Mbakisya, Joseph Owino, Weidong Wu, and Kelvin Msechu. MEPDG Climate Data Input for the State of Tennessee. Report no. RES2020-13. Tennessee. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/62816.
Onyango, Mbakisya, et al. MEPDG Climate Data Input for the State of Tennessee. Tennessee. Department of Transportation, 2022, Report no. RES2020-13, ROSA P. https://rosap.ntl.bts.gov/view/dot/62816.
University of Florida researchers developed a Web interface which centralizes the systems monitoring the Sunshine Skyway Bridge. They also analyzed long-term bridge data to establish the bounds of typical bridge behavior and made recommendations for an alert response plan when data indicate out-of-bounds behavior.
Florida. Department of Transportation (2022). Sunshine Skyway Bridge Monitoring Phase II: System Development [Summary]. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/62304
Florida. Department of Transportation. Sunshine Skyway Bridge Monitoring Phase II: System Development [Summary]. Florida. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/62304.
Florida. Department of Transportation Sunshine Skyway Bridge Monitoring Phase II: System Development [Summary]. Florida. Department of Transportation, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/62304.
As a specific Connected and Automated Vehicle (CAV) technology, the Autonomous Truck Mounted Attenuator (ATMA) is being developed by hardware and software vendors to help save the lives of Department of Transportation (DOT) workers in active highway work zones. The ATMA utilizes an innovative Leader/Follower technology that allows manned and unmann
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Daily, J., Span, M., Rayno, M., Brown, W., Nylen, A., & Weldon, T. (2022). Autonomous Truck Mounted Attenuator (ATMA) Incident Response - CSU Data Report (Report No. CDOT-2022-04). Colorado. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/84567
Daily, Jeremy, Martin Span, Mars Rayno, Weston Brown, Ashley Nylen, and Tyler Weldon. Autonomous Truck Mounted Attenuator (ATMA) Incident Response - CSU Data Report. Report no. CDOT-2022-04. Colorado. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/84567.
Daily, Jeremy, et al. Autonomous Truck Mounted Attenuator (ATMA) Incident Response - CSU Data Report. Colorado. Department of Transportation, 2022, Report no. CDOT-2022-04, ROSA P. https://rosap.ntl.bts.gov/view/dot/84567.
University of Florida researchers studied partnerships between PSTA and TNCs to enhance understanding of project development and how cost-effectiveness can be maintained.
Florida. Department of Transportation (2022). Evaluating the Connection Between Transit and TNCs (Transportation Network Companies) in Pinellas County for Statewide Application [Summary]. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/62290
Florida. Department of Transportation. Evaluating the Connection Between Transit and TNCs (Transportation Network Companies) in Pinellas County for Statewide Application [Summary]. Florida. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/62290.
Florida. Department of Transportation Evaluating the Connection Between Transit and TNCs (Transportation Network Companies) in Pinellas County for Statewide Application [Summary]. Florida. Department of Transportation, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/62290.
Florida International University researchers identified mechanisms by which sulfate ions move through grout and identified the effects of grout sampling methodologies for deficient grouts.
Lau, K. (2022). Development of Standard Methodology to Measure Sulfate Ions in Post-Tensioned Grouts [Summary]. Florida. Department of Transportation. Research Center. https://rosap.ntl.bts.gov/view/dot/61858
Lau, Kingsley. Development of Standard Methodology to Measure Sulfate Ions in Post-Tensioned Grouts [Summary]. Florida. Department of Transportation. Research Center, 2022. https://rosap.ntl.bts.gov/view/dot/61858.
Lau, Kingsley Development of Standard Methodology to Measure Sulfate Ions in Post-Tensioned Grouts [Summary]. Florida. Department of Transportation. Research Center, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/61858.
The research objective was to develop and demonstrate tools that can serve as the foundation of coordinated ACES activities in Florida. The researchers also conducted outreach events with stakeholders to introduce and encourage use of the tools.
Lin, P. S. (2022). Toward a Florida Automated, Connected, Electric and Shared (ACES) Transportation System Roadmap: Phase I [Summary]. Florida. Department of Transportation. Research Center. https://rosap.ntl.bts.gov/view/dot/61932
Lin, Pei-Sung. Toward a Florida Automated, Connected, Electric and Shared (ACES) Transportation System Roadmap: Phase I [Summary]. Florida. Department of Transportation. Research Center, 2022. https://rosap.ntl.bts.gov/view/dot/61932.
Lin, Pei-Sung Toward a Florida Automated, Connected, Electric and Shared (ACES) Transportation System Roadmap: Phase I [Summary]. Florida. Department of Transportation. Research Center, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/61932.
This project aims to help improve work zone driver safety in Indiana through driver education and public awareness campaigns. The project focused on two specific objectives: (1) to design a public awareness campaign to increase drivers’ knowledge and influence positive attitudes about work zone driver safety practices; and (2) to prepare educationa
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Chahine, R., Adu Gyamfi, P., Babu, N. S., Cho, W., Kelley, K. O., Connaughton, S. L., & Gkritza, K. (2022). Design of Educational Material and Public Awareness Campaigns for Improving Work Zone Driver Safety (Report No. FHWA/IN/JTRP-2022/13). Purdue University. Joint Transportation Research Program. https://doi. org/10.5703/1288284317375
Chahine, Ricardo, Prince Adu Gyamfi, Nandhesh Subash Babu, Wonsang Cho, Krista O Kelley, Stacey L Connaughton, and Konstantina Gkritza. Design of Educational Material and Public Awareness Campaigns for Improving Work Zone Driver Safety. Report no. FHWA/IN/JTRP-2022/13. Purdue University. Joint Transportation Research Program, 2022. https://doi. org/10.5703/1288284317375.
Chahine, Ricardo, et al. Design of Educational Material and Public Awareness Campaigns for Improving Work Zone Driver Safety. Purdue University. Joint Transportation Research Program, 2022, Report no. FHWA/IN/JTRP-2022/13, ROSA P. https://doi. org/10.5703/1288284317375.
United States. Department of Transportation. National Highway Traffic Safety Administration
2022-05-01
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The National Highway Traffic Safety Administration works to reduce the occurrence of distracted driving and raise awareness of its dangers. This risky behavior poses a danger to vehicle occupants as well as pedestrians and pedalcyclists. Driver distraction is a specific type of driver inattention. Distraction occurs when drivers divert their attent
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United States. Department of Transportation. National Highway Traffic Safety Administration (2022). Traffic Safety Facts Research Note: Distracted Driving 2020 (Report No. DOT HS 813 309). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/79830
United States. Department of Transportation. National Highway Traffic Safety Administration. Traffic Safety Facts Research Note: Distracted Driving 2020. Report no. DOT HS 813 309. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022. https://rosap.ntl.bts.gov/view/dot/79830.
United States. Department of Transportation. National Highway Traffic Safety Administration Traffic Safety Facts Research Note: Distracted Driving 2020. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022, Report no. DOT HS 813 309, ROSA P. https://rosap.ntl.bts.gov/view/dot/79830.
United States. Department of Transportation. National Highway Traffic Safety Administration
2022-05-01
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PDF
The National Highway Traffic Safety Administration works to reduce the occurrence of distracted driving and raise awareness of its dangers. This risky behavior poses a danger to vehicle occupants as well as pedestrians and pedalcyclists. Driver distraction is a specific type of driver inattention. Distraction occurs when drivers divert their attent
...
United States. Department of Transportation. National Highway Traffic Safety Administration (2022). Teen Distracted Driver Data: Teens and Distracted Driving 2021 (Report No. DOT HS 813 453). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/79829
United States. Department of Transportation. National Highway Traffic Safety Administration. Teen Distracted Driver Data: Teens and Distracted Driving 2021. Report no. DOT HS 813 453. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022. https://rosap.ntl.bts.gov/view/dot/79829.
United States. Department of Transportation. National Highway Traffic Safety Administration Teen Distracted Driver Data: Teens and Distracted Driving 2021. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022, Report no. DOT HS 813 453, ROSA P. https://rosap.ntl.bts.gov/view/dot/79829.
Florida State University researchers examined the feasibility of extracting detailed intersection traffic data from drone videos using computer vision applications.
Ozguven, E. (2022). Feasibility Analysis of Real-time Intersection Data Collection and Processing Using Drones [Summary]. Florida Department of Transportation. https://rosap.ntl.bts.gov/view/dot/62017
Ozguven, Eren. Feasibility Analysis of Real-time Intersection Data Collection and Processing Using Drones [Summary]. Florida Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/62017.
Ozguven, Eren Feasibility Analysis of Real-time Intersection Data Collection and Processing Using Drones [Summary]. Florida Department of Transportation, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/62017.
Sponsored by the Tennessee Department of Transportation, this project aims to assist the State of Tennessee prepare for future intelligent mobility strategies that encompass connected and automated vehicles, electric vehicles, multimodal personal and freight movements, all done in a safe, secure, and equitable way. The project has developed a serie
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Khattak, A., Mahdinia, I., & Sartipi, M. (2022). Connected and Automated Vehicles Investment and Smart Infrastructure in Tennessee (Report No. RES2019-07). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/62693
Khattak, Asad, Iman Mahdinia, and Mina Sartipi. Connected and Automated Vehicles Investment and Smart Infrastructure in Tennessee. Report no. RES2019-07. Tennessee. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/62693.
Khattak, Asad, et al. Connected and Automated Vehicles Investment and Smart Infrastructure in Tennessee. Tennessee. Department of Transportation, 2022, Report no. RES2019-07, ROSA P. https://rosap.ntl.bts.gov/view/dot/62693.
Traffic signal performance measurement and visualization provide insights as operational tools to help traffic management centers (TMC) get more paybacks from infrastructure investment. However, evaluating and monitoring signal performance is challenging in real-time, which requires immediate data collection and analysis capability. As part of the
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Jin, P. J., Zhang, T., Brennan, T. M., Jalayer, M., Wang, Y., Ge, Y., Chen, A., & Patel, D. (2022). Real-Time Traffic Signal System Performance Measurement Phase II: Data and Functionality Enhancement, Large Scale Deployment, Connected and Autonomous Vehicles Integration (Report No. FHWA-NJ-2022-002). New Jersey. Department of Transportation. Bureau of Research. https://rosap.ntl.bts.gov/view/dot/63555
Jin, Peter J., Tianya Zhang, Thomas M. Brennan, Mohammad Jalayer, Yizhou Wang, Yi Ge, Anjiang Chen, and Deep Patel. Real-Time Traffic Signal System Performance Measurement Phase II: Data and Functionality Enhancement, Large Scale Deployment, Connected and Autonomous Vehicles Integration. Report no. FHWA-NJ-2022-002. New Jersey. Department of Transportation. Bureau of Research, 2022. https://rosap.ntl.bts.gov/view/dot/63555.
Jin, Peter J., et al. Real-Time Traffic Signal System Performance Measurement Phase II: Data and Functionality Enhancement, Large Scale Deployment, Connected and Autonomous Vehicles Integration. New Jersey. Department of Transportation. Bureau of Research, 2022, Report no. FHWA-NJ-2022-002, ROSA P. https://rosap.ntl.bts.gov/view/dot/63555.
This project focused on the development for the integration of unmanned aerial systems (UASs) and artificial intelligence (AI) to automate planning, monitoring, and performance verification of highway maintenance tasks within the Georgia Department of Transportation (GDOT). The current mowing assessment for verifying the performance of mowing contr
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Irizarry, J., Cho, Y. K., Yajima, Y., Kim, S., & Kangisser, S. (2022). Development of Drone-Assisted Highway Mowing Operations Planning, Monitoring, and Verification Capabilities (Report No. FHWA-GA-22-2009). Georgia. Department of Transportation. Office of Performance-Based Management & Research. https://rosap.ntl.bts.gov/view/dot/63394
Irizarry, Javier, Yong Kwon Cho, Yosuke Yajima, Seongyong Kim, and Steven Kangisser. Development of Drone-Assisted Highway Mowing Operations Planning, Monitoring, and Verification Capabilities. Report no. FHWA-GA-22-2009. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2022. https://rosap.ntl.bts.gov/view/dot/63394.
Irizarry, Javier, et al. Development of Drone-Assisted Highway Mowing Operations Planning, Monitoring, and Verification Capabilities. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2022, Report no. FHWA-GA-22-2009, ROSA P. https://rosap.ntl.bts.gov/view/dot/63394.
Tennessee faces many threats from natural disasters such as storm, flooding, landslide, and earthquake, which damage civil infrastructure and cause major service interruptions. The application of emerging technologies such as drones, sensing technologies, machine learning methods, and optimization techniques in disaster preparedness, response, and
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Li, S., Moslehy, A., Hu, D., Wang, M., Wierschem, N., Alshibli, K., & Huang, B. (2022). Drones and Other Technologies To Assist in Disaster Relief Efforts (Report No. RES2021-05). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/62694
Li, Shuai, Amirsalar Moslehy, Da Hu, Mengjun Wang, Nicholas Wierschem, Khalid Alshibli, and Baoshan Huang. Drones and Other Technologies To Assist in Disaster Relief Efforts. Report no. RES2021-05. Tennessee. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/62694.
Li, Shuai, et al. Drones and Other Technologies To Assist in Disaster Relief Efforts. Tennessee. Department of Transportation, 2022, Report no. RES2021-05, ROSA P. https://rosap.ntl.bts.gov/view/dot/62694.
The aggregate blended DFT value provides a good indication of the skid resistance of the corresponding mixture or pavement surface. A higher aggregate blended DFT implies a higher skid resistance for a given gradation or mixture type. According to the findings, the recommendations are as follows: • The measured RAP aggregate DFT was suggested to be
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Hu, S., Zhou, F., Scullion, T., Fernando, E., & Souliman, M. (2022). Develop Surface Aggregate Classification of Reclaimed Asphalt Pavement [Project Summary] (Report No. 0-7025). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/64288
Hu, Sheng, Fujie Zhou, Tom Scullion, Emmanuel Fernando, and Mena Souliman. Develop Surface Aggregate Classification of Reclaimed Asphalt Pavement [Project Summary]. Report no. 0-7025. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/64288.
Hu, Sheng, et al. Develop Surface Aggregate Classification of Reclaimed Asphalt Pavement [Project Summary]. Texas A&M Transportation Institute, 2022, Report no. 0-7025, ROSA P. https://rosap.ntl.bts.gov/view/dot/64288.
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