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.
To enhance safety, the Tennessee Department of Transportation (TDOT) is in the process of adopting the Highway Safety Manual (HSM) as a resource to facilitate decision making based on the safety performance of its roadways. The predictive models which are known as Safety Performance Functions (SPFs) are used to forecast the expected crash frequency
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Khattak, A., Ahmad, N., Mohammadnazar, A., Mahdinia, I., Wali, B., & Arvin, R. (2020). Highway Safety Manual Safety Performance Functions & Roadway Calibration Factors: Roadway Segments Phase 2, Part 1 (Report No. RES 2016-27). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/55069
Khattak, Asad, Numan Ahmad, Amin Mohammadnazar, Iman Mahdinia, Behram Wali, and Ramin Arvin. Highway Safety Manual Safety Performance Functions & Roadway Calibration Factors: Roadway Segments Phase 2, Part 1. Report no. RES 2016-27. Tennessee. Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/55069.
Khattak, Asad, et al. Highway Safety Manual Safety Performance Functions & Roadway Calibration Factors: Roadway Segments Phase 2, Part 1. Tennessee. Department of Transportation, 2020, Report no. RES 2016-27, ROSA P. https://rosap.ntl.bts.gov/view/dot/55069.
This project is to develop an assistive technology for the people with vision disabilities of central field loss (CFL) and low contrast sensitivity (LCS). This technology includes a pair of super-reality (SR) glasses with enhanced image contrast, for example, highlighting objects, detect signs, and lanes. The authors call the technology “super-real
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Cai, Y. (2020). Improving Mobility of Low Vision People with Super-Reality Glasses. Mobility21, Carnegie Mellon University. https://rosap.ntl.bts.gov/view/dot/56080
Cai, Yang. Improving Mobility of Low Vision People with Super-Reality Glasses. Mobility21, Carnegie Mellon University, 2020. https://rosap.ntl.bts.gov/view/dot/56080.
Cai, Yang Improving Mobility of Low Vision People with Super-Reality Glasses. Mobility21, Carnegie Mellon University, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/56080.
Navajo Technical University (NTU) in New Mexico, has made a partnership with the Tran-SET regional center at Louisiana State University, LSU. We have provided learning and training the Native American students in transportation-related Industries to some of STEM students at NTU through these partnerships opportunities. The program was designed and
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DatasetSupporting Files
Ehteshami, G. R. (2020). Educational and Workforce Development Through Creation of Programs in Transportation To Generate Future Careers for Our Students in Navajo Nation Region [supporting datasets] (Report No. 17TTNTU01). Transportation Consortium of South-Central States. http://doi.org/10.5281/zenodo.3911555
Ehteshami, Gholam R. Educational and Workforce Development Through Creation of Programs in Transportation To Generate Future Careers for Our Students in Navajo Nation Region [supporting datasets]. Report no. 17TTNTU01. Transportation Consortium of South-Central States, 2020. http://doi.org/10.5281/zenodo.3911555.
Ehteshami, Gholam R Educational and Workforce Development Through Creation of Programs in Transportation To Generate Future Careers for Our Students in Navajo Nation Region [supporting datasets]. Transportation Consortium of South-Central States, 2020, Report no. 17TTNTU01, ROSA P. http://doi.org/10.5281/zenodo.3911555.
This study evaluates the potential human health impacts from connected and autonomous vehicles (CAVs) scenarios in the San Francisco, Bay Area. The study concentrates on impacts derived from the effects of CAVs on travel demand, safety, and environmental emissions. The study combines an extensive literature review about the extent of such potential
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Jaller, M., Pourrahmani, E., Rodier, C., Maizlish, N., & Zhang, M. (2020). Active Transportation and Community Health Impacts of Automated Vehicle Scenarios: An Integration of the San Francisco Bay Area Activity Based Travel Demand Model and the Integrated Transport and Health Impacts Model (ITHIM). Cornell University. Center for Transportation, Environment, and Community Health. (CTECH). https://rosap.ntl.bts.gov/view/dot/56015
Jaller, Miguel, Elham Pourrahmani, Caroline Rodier, Neil Maizlish, and Michael Zhang. Active Transportation and Community Health Impacts of Automated Vehicle Scenarios: An Integration of the San Francisco Bay Area Activity Based Travel Demand Model and the Integrated Transport and Health Impacts Model (ITHIM). Cornell University. Center for Transportation, Environment, and Community Health. (CTECH), 2020. https://rosap.ntl.bts.gov/view/dot/56015.
Jaller, Miguel, et al. Active Transportation and Community Health Impacts of Automated Vehicle Scenarios: An Integration of the San Francisco Bay Area Activity Based Travel Demand Model and the Integrated Transport and Health Impacts Model (ITHIM). Cornell University. Center for Transportation, Environment, and Community Health. (CTECH), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/56015.
The increasing number of senior drivers may introduce new road risks due to age-related declines in physical and cognitive abilities. Advanced driver assistance systems (ADAS) have been proposed as solutions to minimize age-related declines, thereby increasing both senior safety and mobility. This study examined factors that influence seniors’ atti
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Liang, D., Lau, N., Baker, S., & Antin, J. F. (2020). Examining Senior Drivers’ Attitudes Towards Advanced Driver Assistance Systems after Naturalistic Exposure (Report No. 04-103). Virginia Tech Transportation Institute. https://rosap.ntl.bts.gov/view/dot/56075
Liang, Dan, Nathan Lau, Stephanie Baker, and Jonathan F Antin. Examining Senior Drivers’ Attitudes Towards Advanced Driver Assistance Systems after Naturalistic Exposure. Report no. 04-103. Virginia Tech Transportation Institute, 2020. https://rosap.ntl.bts.gov/view/dot/56075.
Liang, Dan, et al. Examining Senior Drivers’ Attitudes Towards Advanced Driver Assistance Systems after Naturalistic Exposure. Virginia Tech Transportation Institute, 2020, Report no. 04-103, ROSA P. https://rosap.ntl.bts.gov/view/dot/56075.
Autonomous vehicles (AVs) at varying market penetration rates will change traffic flow and highway performance. At AV market penetration rates of between 0 percent and 100 percent, human-driven vehicles (HVs) will be interacting with AVs. However, little is known about how HVs interact with AVs. Using the Oregon State University Driving Simulator,
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Wang, H., Hurwitz, D., Chand, C., Jashami, H., & Koll, C. (2020). Integrating Driving Simulator Experiment Data With a Multi-Agent Connected Automated Vehicles Simulation (MA-CAVs) Platform to Quantify Improved Capacity (Report No. 2018-S-OSU-4). Pacific Northwest Transportation Consortium (PacTrans) (UTC). https://rosap.ntl.bts.gov/view/dot/58625
Wang, Haizhong, David Hurwitz, Cadell Chand, Hisham Jashami, and Charles Koll. Integrating Driving Simulator Experiment Data With a Multi-Agent Connected Automated Vehicles Simulation (MA-CAVs) Platform to Quantify Improved Capacity. Report no. 2018-S-OSU-4. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/58625.
Wang, Haizhong, et al. Integrating Driving Simulator Experiment Data With a Multi-Agent Connected Automated Vehicles Simulation (MA-CAVs) Platform to Quantify Improved Capacity. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2020, Report no. 2018-S-OSU-4, ROSA P. https://rosap.ntl.bts.gov/view/dot/58625.
Pavement markings are an important traffic control device, enhancing both the safety and efficiency of various modes of transportation by aiding vehicles, bicyclists, and pedestrians in effectively navigating the transportation network. In this Pacific Northwest Transportation Consortium (PacTrans) project, the authors developed a new framework to
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Jung, J., Olsen, M. J., Che, E., & Parrish, C. (2020). Efficient Extraction and Evaluation of Complex Pavement Markings from Mobile Laser Scan Data. Pacific Northwest Transportation Consortium (PacTrans) (UTC). https://rosap.ntl.bts.gov/view/dot/56491
Jung, Jaehoon, Michael J. Olsen, Erzhuo Che, and Christopher Parrish. Efficient Extraction and Evaluation of Complex Pavement Markings from Mobile Laser Scan Data. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/56491.
Jung, Jaehoon, et al. Efficient Extraction and Evaluation of Complex Pavement Markings from Mobile Laser Scan Data. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/56491.
These files belong to a research project on evaluating different bicycle and pedestrian crossing options at Continuous Flow Intersections (CFI). These are the simulation models for different CFI crossing alternatives for pedestrians and bicycles. Three parameters were varied to create the scenario: a) number of displaced left turn legs (4 vs. 2) b)
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DatasetSupporting Files
Rouphail, N. M., Cunningham, C. M., Warchol, S., & Ahmed, I. (2020). Integrated Implementation of Innovative Intersection Designs [supporting datasets]. Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE). http://doi.org/10.5281/zenodo.3887540
Rouphail, Nagui M., Christopher M. Cunningham, Shannon Warchol, and Ishtiak Ahmed. Integrated Implementation of Innovative Intersection Designs [supporting datasets]. Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE), 2020. http://doi.org/10.5281/zenodo.3887540.
Rouphail, Nagui M., et al. Integrated Implementation of Innovative Intersection Designs [supporting datasets]. Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE), 2020, ROSA P. http://doi.org/10.5281/zenodo.3887540.
Multiple studies have explored different forms of connected vehicle applications, such as queue warning and cooperative adaptive cruise control (CACC), in standard wireless access in vehicular environments (WAVE), and dedicated short-range communication (DSRC) network environments. A major focus of the ongoing research is to consider a hybrid vehic
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DatasetSupporting Files
Martin, J. J., Comert, G., Kaur, M., & Alsuhaim, A. (2020). Uncertainty Quantification of Cyber Attacks on Connected Vehicles and Infrastructure (Part 1) [supporting datasets]. Center for Connected Multimodal Mobility, Clemson University. https://rosap.ntl.bts.gov/view/dot/56256
Martin, James J, Gurcan Comert, Manveen Kaur, and Adil Alsuhaim. Uncertainty Quantification of Cyber Attacks on Connected Vehicles and Infrastructure (Part 1) [supporting datasets]. Center for Connected Multimodal Mobility, Clemson University, 2020. https://rosap.ntl.bts.gov/view/dot/56256.
Martin, James J, et al. Uncertainty Quantification of Cyber Attacks on Connected Vehicles and Infrastructure (Part 1) [supporting datasets]. Center for Connected Multimodal Mobility, Clemson University, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/56256.
This report presents results for research on a Vision-Based Site Monitoring (VBSM) system for monitoring Wrong-Way Driving (WWD) events. This system integrates a camera, solar power panels, and a modem into a pole-mounted package for deployment on freeway exit ramps to monitor for WWD events. The system incorporates on-camera analytics for WWD dete
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Lasky, T. A., Yen, K., Donecker, S., Bennett, D., Swanston, T., & Ravani, B. (2020). Vision-Based Sensor System for Site Monitoring: Wrong-Way Driving, Phase 1 (Report No. CA20-2970). California. Dept. of Transportation. Division of Research and Innovation. https://rosap.ntl.bts.gov/view/dot/54530
Lasky, Ty A., Kin Yen, Stephen Donecker, Duane Bennett, Travis Swanston, and Bahram Ravani. Vision-Based Sensor System for Site Monitoring: Wrong-Way Driving, Phase 1. Report no. CA20-2970. California. Dept. of Transportation. Division of Research and Innovation, 2020. https://rosap.ntl.bts.gov/view/dot/54530.
Lasky, Ty A., et al. Vision-Based Sensor System for Site Monitoring: Wrong-Way Driving, Phase 1. California. Dept. of Transportation. Division of Research and Innovation, 2020, Report no. CA20-2970, ROSA P. https://rosap.ntl.bts.gov/view/dot/54530.
Equity is a representation of fairness in the distribution of benefits and burdens. It is an important expectation of the public in transportation planning and project selection, as these activities can have significant equity impacts. Increasingly, metropolitan planning organizations (MPOs) and local governments are evaluating both plans and proje
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Williams, K. M., Kramer, J., Keita, Y., & Boyd, T. (2020). Transportation Equity Scorecard: A Tool for Project Screening and Prioritization (Report No. CTEDD 018-03). Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC). https://rosap.ntl.bts.gov/view/dot/55950
Williams, Kristine M., Jeff Kramer, Yaye Keita, and Tia Boyd. Transportation Equity Scorecard: A Tool for Project Screening and Prioritization. Report no. CTEDD 018-03. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/55950.
Williams, Kristine M., et al. Transportation Equity Scorecard: A Tool for Project Screening and Prioritization. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2020, Report no. CTEDD 018-03, ROSA P. https://rosap.ntl.bts.gov/view/dot/55950.
LiDAR (Light Detection and Ranging) is a mature and efficient technology currently used by various divisions of UDOT (asset management, traffic control, pavement, construction, etc.). Some of the current applications of LiDAR at UDOT (as well as other DOTs) include: asset management for roads and buildings, quality control of pavements and other in
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Cross, C., Farhadmanesh, M., & Rashidi, A. (2020). Assessing Close-Range Photogrammetry as an Alternative for LiDAR Technology at UDOT Divisions (Report No. UT-20.18). Utah. Dept. of Transportation. Division of Research. https://rosap.ntl.bts.gov/view/dot/54923
Cross, Chandler, Mohammad Farhadmanesh, and Abbas Rashidi. Assessing Close-Range Photogrammetry as an Alternative for LiDAR Technology at UDOT Divisions. Report no. UT-20.18. Utah. Dept. of Transportation. Division of Research, 2020. https://rosap.ntl.bts.gov/view/dot/54923.
Cross, Chandler, et al. Assessing Close-Range Photogrammetry as an Alternative for LiDAR Technology at UDOT Divisions. Utah. Dept. of Transportation. Division of Research, 2020, Report no. UT-20.18, ROSA P. https://rosap.ntl.bts.gov/view/dot/54923.
Nowadays, the effectiveness of any smart transportation management or control strategy would heavily depend on reliable traffic data collected by sensors. Two problems regarding sensor data quality have received attention: first, the problem of identifying malfunctioning sensors; second, reconstruction of traffic flow. Most existing studies concern
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Fan, Y., Yang, H., Maheshwari, S., & Yang, Y. (2020). Improving Transportation Information Resilience: Error Estimation for Networked Sensor Data (Report No. NCST-UCD-RR-20-18). California. Department of Transportation. https://doi.org/10.7922/G2610XK9
Fan, Yueyue, Han Yang, Saurabh Maheshwari, and Yudi Yang. Improving Transportation Information Resilience: Error Estimation for Networked Sensor Data. Report no. NCST-UCD-RR-20-18. California. Department of Transportation, 2020. https://doi.org/10.7922/G2610XK9.
Fan, Yueyue, et al. Improving Transportation Information Resilience: Error Estimation for Networked Sensor Data. California. Department of Transportation, 2020, Report no. NCST-UCD-RR-20-18, ROSA P. https://doi.org/10.7922/G2610XK9.
The current freight transportation network is highly unbalanced as routing decisions are made by individual users without coordination. Certain routes may become congested when chosen based on current traffic information without any anticipation that if other users do the same, these routes are no longer the best. This project developed a centrally
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Ioannou, P., Giuliano, G., Dessouky, M., & Chen, P. (2020). Freight Load Balancing and Efficiencies in Alternative Fuel Freight Modes (Report No. NCST-USC-RR-20-20). National Center for Sustainable Transportation (NCST) (UTC). https://doi.org/10.7922/G2JD4V25
Ioannou, Petros, Genevieve Giuliano, Maged Dessouky, and Pengfei Chen. Freight Load Balancing and Efficiencies in Alternative Fuel Freight Modes. Report no. NCST-USC-RR-20-20. National Center for Sustainable Transportation (NCST) (UTC), 2020. https://doi.org/10.7922/G2JD4V25.
Ioannou, Petros, et al. Freight Load Balancing and Efficiencies in Alternative Fuel Freight Modes. National Center for Sustainable Transportation (NCST) (UTC), 2020, Report no. NCST-USC-RR-20-20, ROSA P. https://doi.org/10.7922/G2JD4V25.
The Moving Ahead for Progress in the 21st Century Act (MAP-21) of 2012 requires states to develop and implement a transportation asset management plan (TAMP) for their respective portions of the National Highway System (NHS). Life-cycle cost and risk management analyses must be included in a state’s TAMP. As defined in the 1998 Transportation Equit
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Alipour, A., Shafei, B., Mock, A., & Prajapat, K. (2020). Development of a Life-Cycle Cost Analysis Tool for Improved Maintenance and Management of Bridges (Report No. IHRB Project TR-737). Iowa State University. Institute for Transportation. https://rosap.ntl.bts.gov/view/dot/55485
Alipour, Alice, Behrouz Shafei, Andrew Mock, and Kanta Prajapat. Development of a Life-Cycle Cost Analysis Tool for Improved Maintenance and Management of Bridges. Report no. IHRB Project TR-737. Iowa State University. Institute for Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/55485.
Alipour, Alice, et al. Development of a Life-Cycle Cost Analysis Tool for Improved Maintenance and Management of Bridges. Iowa State University. Institute for Transportation, 2020, Report no. IHRB Project TR-737, ROSA P. https://rosap.ntl.bts.gov/view/dot/55485.
The potential for automated vehicles (AVs) to reduce parking in city centers has generated much excitement among urban planners. AVs could drop-off (DO) and pick-up (PU) passengers in areas where parking costs are high: personal AVs could return home or park in less expensive locations, and shared AVs could serve other passengers. Reduced on-street
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Zhang, M., Chai, H., Song, J., Jaller, M., & Rodier, C. (2020). The Impacts of Automated Vehicles on Center City Parking Demand (Report No. NCST-UCD-RR-20-17, UCD-ITS-RR-20-33). University of California, Davis. https://doi.org/10.7922/G2X928J1
Zhang, Michael, Huajun Chai, Jeffery Song, Miguel Jaller, and Caroline Rodier. The Impacts of Automated Vehicles on Center City Parking Demand. Report no. NCST-UCD-RR-20-17, UCD-ITS-RR-20-33. University of California, Davis, 2020. https://doi.org/10.7922/G2X928J1.
Zhang, Michael, et al. The Impacts of Automated Vehicles on Center City Parking Demand. University of California, Davis, 2020, Report no. NCST-UCD-RR-20-17, UCD-ITS-RR-20-33, ROSA P. https://doi.org/10.7922/G2X928J1.
Nighttime safety continues to be a major concern for transportation agencies across the country. Roadway lighting has been widely used as a countermeasure for nighttime crashes. However, safety engineers and researchers frequently lack effective tools when determining exactly how lighting should be optimized to maximize safety while conserving ener
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Li, Y. (., Bhagavathula, R., Terry, T. N., Medina, A., & Gibbons, R. B. (2020). Safety Benefits and Best Practices for Intersection Lighting (Report No. FHWA/VTRC 20-R31). Virginia. Dept. of Highways. https://rosap.ntl.bts.gov/view/dot/53426
Li, Yingfeng (Eric), Rajaram Bhagavathula, Travis N. Terry, Alejandra Medina, and Ronald B. Gibbons. Safety Benefits and Best Practices for Intersection Lighting. Report no. FHWA/VTRC 20-R31. Virginia. Dept. of Highways, 2020. https://rosap.ntl.bts.gov/view/dot/53426.
Li, Yingfeng (Eric), et al. Safety Benefits and Best Practices for Intersection Lighting. Virginia. Dept. of Highways, 2020, Report no. FHWA/VTRC 20-R31, ROSA P. https://rosap.ntl.bts.gov/view/dot/53426.
Safety has become an area of increasing focus in all aspects of transportation planning, design, construction, and operations. Transportation legislations, such as the SAFETEA-LU Act (2005) and the FAST Act (2015), have promoted data-driven safety analysis in various programs. The publication of the Highway Safety Manual (2010) and the Supplement (
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Sun, C., Edara, P. K., Adu-Gyamfi, Y. O., Zoghifard, M., & Huang, Z. (2020). Highway Safety Manual Training (Report No. cmr 20-008). Missouri. Department of Transportation. Construction and Materials Division. https://rosap.ntl.bts.gov/view/dot/53617
Sun, Carlos, Praveen K. Edara, Yaw Okyere Adu-Gyamfi, Mohammadmehdi Zoghifard, and Ziyi Huang. Highway Safety Manual Training. Report no. cmr 20-008. Missouri. Department of Transportation. Construction and Materials Division, 2020. https://rosap.ntl.bts.gov/view/dot/53617.
Sun, Carlos, et al. Highway Safety Manual Training. Missouri. Department of Transportation. Construction and Materials Division, 2020, Report no. cmr 20-008, ROSA P. https://rosap.ntl.bts.gov/view/dot/53617.
What happens when you give poor families a car? For decades, scholars have suggested that giving poor families cars can help them move up the economic ladder, yet these programs have rarely been studied. My research will study changes in poor families’ lives when they receive a car from the largest vehicle donation program in the country. I intervi
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Klein, N. J. (2020). How Do Car Donation Programs Effect Travel, Income, and Healthcare Access Among Poor Families?. Cornell University. Center for Transportation, Environment, and Community Health. (CTECH). https://rosap.ntl.bts.gov/view/dot/56484
Klein, Nicholas J.. How Do Car Donation Programs Effect Travel, Income, and Healthcare Access Among Poor Families?. Cornell University. Center for Transportation, Environment, and Community Health. (CTECH), 2020. https://rosap.ntl.bts.gov/view/dot/56484.
Klein, Nicholas J. How Do Car Donation Programs Effect Travel, Income, and Healthcare Access Among Poor Families?. Cornell University. Center for Transportation, Environment, and Community Health. (CTECH), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/56484.
Propagation of cracks from existing pavements into a new asphalt concrete overlay (reflective cracking) is a major problem for both rigid and flexible pavements. Reflective cracking in pavements compromises ride quality and reduces the service life of the pavement. Reflective cracking of the asphalt layer over jointed concrete pavement is a perenni
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Nair, H., & Habbouche, J. (2020). Installation and Initial Evaluation of Paving Fabric Interlayers for Mitigating Reflective Cracking in Pavements (Report No. FHWA/VTRC 20-R33). Virginia Transportation Research Council (VTRC). https://rosap.ntl.bts.gov/view/dot/54880
Nair, Harikrishnan and Jhony Habbouche. Installation and Initial Evaluation of Paving Fabric Interlayers for Mitigating Reflective Cracking in Pavements. Report no. FHWA/VTRC 20-R33. Virginia Transportation Research Council (VTRC), 2020. https://rosap.ntl.bts.gov/view/dot/54880.
Nair, Harikrishnan, and Jhony Habbouche Installation and Initial Evaluation of Paving Fabric Interlayers for Mitigating Reflective Cracking in Pavements. Virginia Transportation Research Council (VTRC), 2020, Report no. FHWA/VTRC 20-R33, ROSA P. https://rosap.ntl.bts.gov/view/dot/54880.
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