By leveraging advanced technologies, Autonomous Vehicles (AVs) hold the potential to increase transportation safety and efficiency. This collection showcases USDOT-funded research and data concerning AVs. Bookmark this collection: https://rosap.ntl.bts.gov/collection_avs OR https://doi.org/10.21949/1x81-qs91.
Automation is transforming mobility. Its integration across our transportation system has the power to enhance the mobility and independence of millions of Americans, especially older Americans and people with disabilities. Cooperative Driving Automation (CDA) supports and enables automated vehicles to cooperate through communication between vehicl
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Lochrane, T., & Vadakpat, G. (2019). Enabling Cooperative Driving Automation: Automated Vehicles Working Together (Report No. FHWA-JPO-19-757). United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/57381
Lochrane, Taylor and Govind Vadakpat. Enabling Cooperative Driving Automation: Automated Vehicles Working Together. Report no. FHWA-JPO-19-757. United States. Department of Transportation. Federal Highway Administration, 2019. https://rosap.ntl.bts.gov/view/dot/57381.
Lochrane, Taylor, and Govind Vadakpat Enabling Cooperative Driving Automation: Automated Vehicles Working Together. United States. Department of Transportation. Federal Highway Administration, 2019, Report no. FHWA-JPO-19-757, ROSA P. https://rosap.ntl.bts.gov/view/dot/57381.
The next decade will see a rapid increase in the prevalence of partial and conditional vehicle automation, specifically SAE Levels 2 and 3. These automated systems are designed for specific operational conditions, such as driving on mapped highways with clear lane markings, and, within these defined contexts, can control both the speed and the late
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Shull, E., Gaspar, J. G., Schmitt, R., & Vecera, S. (2019). Using Human-Machine Interfaces To Convey Feedback in Automated Vehicles. Safety Research Using Simulation (SAFER-SIM) University Transportation Center. https://rosap.ntl.bts.gov/view/dot/62006
Shull, Emily, John G Gaspar, Rose Schmitt, and Shaun Vecera. Using Human-Machine Interfaces To Convey Feedback in Automated Vehicles. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2019. https://rosap.ntl.bts.gov/view/dot/62006.
Shull, Emily, et al. Using Human-Machine Interfaces To Convey Feedback in Automated Vehicles. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/62006.
This purpose of this report is to help the cities of Gresham, Oregon and Eugene, Oregon understand the potential impacts of new mobility technologies – with an emphasis on autonomous vehicles (AVs) – and prepare a policy response. While Gresham and Eugene are case studies, it provides communities of all sizes information on how new mobility service
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Steckler, B., Davidson, J., Howell, A., Larco, N., Lewis, R., Montiel, M., Surguine, M., & Tan, H. (2019). Navigating New Mobility: Policy Approaches for Cities. University of Oregon, Urbanism Next Center. https://rosap.ntl.bts.gov/view/dot/60637
Steckler, Becky, Jennifer Davidson, Amanda Howell, Nico Larco, Rebecca Lewis, Michelle Montiel, Marsie Surguine, and Huijun Tan. Navigating New Mobility: Policy Approaches for Cities. University of Oregon, Urbanism Next Center, 2019. https://rosap.ntl.bts.gov/view/dot/60637.
Steckler, Becky, et al. Navigating New Mobility: Policy Approaches for Cities. University of Oregon, Urbanism Next Center, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/60637.
INDOT will soon be embarking on infrastructure planning to accommodate autonomous vehicles. This new technology affords the ability to impact economic value creation across the supply chain in Indiana, as well as foster economic development in Indiana to support these emerging technologies. This proposal will be a first cut towards exploring the de
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Iyer, A. V., Dunlop, S. R., Singh, A. G., Bhatia, M., & Rahman, S. (2019). Developing a Business Ecosystem Around Autonomous Vehicle Infrastructure in Indiana (Report No. FHWA/IN/JTRP-2019/20). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317088
Iyer, Ananth V, Steven R Dunlop, Anmol Guram Singh, Mihir Bhatia, and Sazzadur Rahman. Developing a Business Ecosystem Around Autonomous Vehicle Infrastructure in Indiana. Report no. FHWA/IN/JTRP-2019/20. Purdue University. Joint Transportation Research Program, 2019. https://doi.org/10.5703/1288284317088.
Iyer, Ananth V, et al. Developing a Business Ecosystem Around Autonomous Vehicle Infrastructure in Indiana. Purdue University. Joint Transportation Research Program, 2019, Report no. FHWA/IN/JTRP-2019/20, ROSA P. https://doi.org/10.5703/1288284317088.
The Northeast Connected and Automated Vehicle Summit was hosted by the Connecticut Department of Transportation, the Federal Highway Administration, and the University of Connecticut on June 12-13, 2019, at the Hartford Hilton Hotel. The event provided an open forum for stakeholders in the Northeast to network, share, and discuss a wide range of to
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Jackson, E., Auguste, M., & Simler, T. (2019). 2019 Northeast Connected and Automated Vehicle Summit Report (Report No. CT-2318-F-19-5). Connecticut. Dept. of Transportation. https://rosap.ntl.bts.gov/view/dot/55544
Jackson, Eric, Marisa Auguste, and Tara Simler. 2019 Northeast Connected and Automated Vehicle Summit Report. Report no. CT-2318-F-19-5. Connecticut. Dept. of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/55544.
Jackson, Eric, et al. 2019 Northeast Connected and Automated Vehicle Summit Report. Connecticut. Dept. of Transportation, 2019, Report no. CT-2318-F-19-5, ROSA P. https://rosap.ntl.bts.gov/view/dot/55544.
Autonomous vehicles (AVs) are poised to dramatically reshape the transportation system. They are likely to have significant consequences on urban transportation issues: energy use, vehicle miles traveled, the need for neighborhood parking, the ease of accessing employment, and the incidence of pollution—in both positive and negative directions. Nat
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Zhao, J. (2019). An Urban Agenda for Autonomous Vehicles: Embedding Planning Principles into Technological Deployment (Report No. MITR25-49). New England University Transportation Center. https://rosap.ntl.bts.gov/view/dot/43820
Zhao, Jinhua. An Urban Agenda for Autonomous Vehicles: Embedding Planning Principles into Technological Deployment. Report no. MITR25-49. New England University Transportation Center, 2019. https://rosap.ntl.bts.gov/view/dot/43820.
Zhao, Jinhua An Urban Agenda for Autonomous Vehicles: Embedding Planning Principles into Technological Deployment. New England University Transportation Center, 2019, Report no. MITR25-49, ROSA P. https://rosap.ntl.bts.gov/view/dot/43820.
The near-term goal of this project was to develop and evaluate an initial set of standardized test procedures that vehicles equipped with automated driving features could undergo to compare capabilities and limitations across different implementations of automated technologies. In the longer term, this project will provide a basis for future automa
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DatasetSupporting Files
Basantis, A., Harwood, L., Doerzaph, Z., & Neurauter, L. (2019). Standardized Performance Evaluation of Vehicles with Automated Capabilities [supporting dataset] (Report No. VTTI-00-020). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://doi.org/10.15787/VTT1/D946JJ
Basantis, Alexis, Leslie Harwood, Zachary Doerzaph, and Luke Neurauter. Standardized Performance Evaluation of Vehicles with Automated Capabilities [supporting dataset]. Report no. VTTI-00-020. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019. https://doi.org/10.15787/VTT1/D946JJ.
Basantis, Alexis, et al. Standardized Performance Evaluation of Vehicles with Automated Capabilities [supporting dataset]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019, Report no. VTTI-00-020, ROSA P. https://doi.org/10.15787/VTT1/D946JJ.
Massive employment growth at the Tahoe Reno Industrial Center (TRIC), with housing stock primarily in the Reno/Sparks area – and a constrained transportation corridor (I-80) connecting the two – is leading to significant congestion with the potential to slow desired economic development in the region. In addition to other strategies under considera
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Jensen, M., Andersen, D., Marecek, A., & Anson, C. (2019). Autonomous Vehicle Feasibility Study – Final Report (Report No. 592-18-803). Nevada Department of Transportation. https://rosap.ntl.bts.gov/view/dot/62683
Jensen, Mark, Dan Andersen, Alice Marecek, and Chad Anson. Autonomous Vehicle Feasibility Study – Final Report. Report no. 592-18-803. Nevada Department of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/62683.
Jensen, Mark, et al. Autonomous Vehicle Feasibility Study – Final Report. Nevada Department of Transportation, 2019, Report no. 592-18-803, ROSA P. https://rosap.ntl.bts.gov/view/dot/62683.
The primary objective of this research is to operationalize a new tour-based travel behavior modeling framework that addresses three limitations of existing frameworks. First, it represents time as a continuous entity. Second, it captures the interrelationship between stops and tours across the day. Third, it accommodates the temporal constraints w
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Zhang, J., Mondal, A., Enam, A., & Konduri, K. C. (2019). Development of Continuous Time, Temporally Constrained and Behaviorally Consistent Tour Pattern Generation System for Modeling the Impacts of Autonomous Vehicle Future (Report No. 2018 Project 11). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/61502
Zhang, Jingyue, Amit Mondal, Annesha Enam, and Karthik C Konduri. Development of Continuous Time, Temporally Constrained and Behaviorally Consistent Tour Pattern Generation System for Modeling the Impacts of Autonomous Vehicle Future. Report no. 2018 Project 11. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2019. https://rosap.ntl.bts.gov/view/dot/61502.
Zhang, Jingyue, et al. Development of Continuous Time, Temporally Constrained and Behaviorally Consistent Tour Pattern Generation System for Modeling the Impacts of Autonomous Vehicle Future. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2019, Report no. 2018 Project 11, ROSA P. https://rosap.ntl.bts.gov/view/dot/61502.
The overarching goal of this research is to reframe debate about the autonomous vehicle (AV) from its current perspective that encourages states to understand how to respond to this evolving technology to a more proactive stance organized around the question of what outcomes society would like to obtain from the strategic deployment of AV technolog
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Garrick, N., & Atkinson-Palombo, C. (2019). What Do We Want from Autonomous Vehicles (AVs)? Using Participatory Planning and Scenario Analysis of Alternative Features to Identify Stakeholders’ Desired Outcomes from the Strategic Deployment of Emerging Transportation Technology (Report No. 2018 Project 12). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/61501
Garrick, Norman and Carol Atkinson-Palombo. What Do We Want from Autonomous Vehicles (AVs)? Using Participatory Planning and Scenario Analysis of Alternative Features to Identify Stakeholders’ Desired Outcomes from the Strategic Deployment of Emerging Transportation Technology. Report no. 2018 Project 12. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2019. https://rosap.ntl.bts.gov/view/dot/61501.
Garrick, Norman, and Carol Atkinson-Palombo What Do We Want from Autonomous Vehicles (AVs)? Using Participatory Planning and Scenario Analysis of Alternative Features to Identify Stakeholders’ Desired Outcomes from the Strategic Deployment of Emerging Transportation Technology. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2019, Report no. 2018 Project 12, ROSA P. https://rosap.ntl.bts.gov/view/dot/61501.
This report documents the work completed by the Crash Avoidance Metrics Partners LLC (CAMP) Vehicle to Infrastructure (V2I) Consortium during the fifth year of the “Development of Vehicle-to-Infrastructure Applications (V2I) Program.” Participating companies in the V2I Consortium during this period were Ford, General Motors, Hyundai Motor Group, Ho
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Shulman, M., & Geisler, S. (2019). Development of Vehicle-to-Infrastructure Applications Program Fifth Annual Report (Report No. FHWA-JPO-19-780). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/50552
Shulman, Michael and Scott Geisler. Development of Vehicle-to-Infrastructure Applications Program Fifth Annual Report. Report no. FHWA-JPO-19-780. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2019. https://rosap.ntl.bts.gov/view/dot/50552.
Shulman, Michael, and Scott Geisler Development of Vehicle-to-Infrastructure Applications Program Fifth Annual Report. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2019, Report no. FHWA-JPO-19-780, ROSA P. https://rosap.ntl.bts.gov/view/dot/50552.
In the near future, responsible highway agencies will need to effectively coordinate emerging autonomous vehicle (AV) flows while contending with daily recurrent congestion. This study presents a systematic procedure for understanding how AV flows impact traffic under different AV behavioral mechanisms (i.e., car-following and lane-changing), penet
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Rao, R. S., Park, S. Y., & Chang, G. L. (2019). Managing the Impacts of Different AV/CV Penetration Rates on Recurrent Freeway Congestion from the Perspective of Traffic Management: A Case Study of MD-100. Urban Mobility & Equity Center. https://rosap.ntl.bts.gov/view/dot/63064
Rao, Ranteg S, Sung Yoon Park, and Gang-Len Chang. Managing the Impacts of Different AV/CV Penetration Rates on Recurrent Freeway Congestion from the Perspective of Traffic Management: A Case Study of MD-100. Urban Mobility & Equity Center, 2019. https://rosap.ntl.bts.gov/view/dot/63064.
Rao, Ranteg S, et al. Managing the Impacts of Different AV/CV Penetration Rates on Recurrent Freeway Congestion from the Perspective of Traffic Management: A Case Study of MD-100. Urban Mobility & Equity Center, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/63064.
Connected and automated vehicles (CAVs) are becoming increasingly prevalent, bringing with them potential for better safety and mobility. However, these vehicles can create many thousands of transactions in a flash, creating a challenge for current technologies that are not capable of transmitting such big data, privately, and securely. Distributed
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Cao, Y., Kurkcu, A., & Ozbay, K. (2019). Blockchain: A Safe, Efficient Solution for Driver Privacy and Connected Vehicle Transportation Data Sharing. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART). https://rosap.ntl.bts.gov/view/dot/49464
Cao, Yingxi, Abdullah Kurkcu, and Kaan Ozbay. Blockchain: A Safe, Efficient Solution for Driver Privacy and Connected Vehicle Transportation Data Sharing. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2019. https://rosap.ntl.bts.gov/view/dot/49464.
Cao, Yingxi, et al. Blockchain: A Safe, Efficient Solution for Driver Privacy and Connected Vehicle Transportation Data Sharing. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/49464.
Connected vehicles enabled through the installation of IEEE WAVE/DSRC standard-compliant radios in vehicles and on roadside units (RSU) that operate on DSRC bands will enable multiple innovations that promote safety and efficiency. An example is intelligent signalized intersections that allow an RSU at the intersection to obtain real-time informati
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This document contains an overview of the software infrastructure developed under the SAFER-SIM project “Developing an Open Source Multi-Agent Simulation Environment for Connected Autonomous Vehicles”. We provide a description of the four foundational simulation elements – agent dynamics, sensing, communication, and virtual worlds – that anchor Syn
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Dataset
Negrut, D., Serban, R., & Elmquist, A. (2019). Developing an Open-Source Multi-Agent Simulation Environment for Connected Autonomous Vehicles [supporting datasets]. Safety Research Using Simulation (SAFER-SIM) University Transportation Center. https://doi.org/10.7910/DVN/WF4ZO5
Negrut, Dan, Radu Serban, and Asher Elmquist. Developing an Open-Source Multi-Agent Simulation Environment for Connected Autonomous Vehicles [supporting datasets]. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2019. https://doi.org/10.7910/DVN/WF4ZO5.
Negrut, Dan, et al. Developing an Open-Source Multi-Agent Simulation Environment for Connected Autonomous Vehicles [supporting datasets]. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2019, ROSA P. https://doi.org/10.7910/DVN/WF4ZO5.
The current state-of-the-art in using remotely controlled or small unmanned aerial systems (sUAS) for bridge inspection focuses only on taking visual measurements from a distance of many meters. This is not a sufficient substitute for the inspection made via contact sensing by a human inspector. Furthermore, these systems often require global posit
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Scherer, S. (2019). Aerial Contact Sensing for Improved Inspection of Transportation Infrastructure. Mobility21, Carnegie Mellon University. https://rosap.ntl.bts.gov/view/dot/49465
Scherer, Sebastian. Aerial Contact Sensing for Improved Inspection of Transportation Infrastructure. Mobility21, Carnegie Mellon University, 2019. https://rosap.ntl.bts.gov/view/dot/49465.
Scherer, Sebastian Aerial Contact Sensing for Improved Inspection of Transportation Infrastructure. Mobility21, Carnegie Mellon University, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/49465.
Contemporary research indicates that the era of autonomous vehicles (AVs) is not only inevitable but may be reached sooner than expected; however, not enough research has been done to address road infrastructure readiness for supporting AV operations. Highway agencies at all levels of governments seek to identify the needed infrastructure changes t
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Roadside work zones (WZs) present imminent safety hazards for roadway workers as well as passing motorists. In 2016, 764 fatalities occurred in WZs in the United States due to motor vehicle traffic crashes, which are the second most common cause of worker fatalities. The advent of connected and connected automated vehicles (CVs/CAVs) is driving WZ
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Mollenhauer, M., White, E., & Roofigari-Esfahan, N. (2019). Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles (CAVs) (Report No. 03-050). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/61491
Mollenhauer, Michael, Elizabeth White, and Nazila Roofigari-Esfahan. Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles (CAVs). Report no. 03-050. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019. https://rosap.ntl.bts.gov/view/dot/61491.
Mollenhauer, Michael, et al. Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles (CAVs). Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019, Report no. 03-050, ROSA P. https://rosap.ntl.bts.gov/view/dot/61491.
Although automated driving systems have made significant progress over the past few years, human involvement is still vital, especially for Level 2 (L2) systems. One of the challenges of L2 systems is transfer of control between drivers and systems. The objective of this study was to design and evaluate an in-vehicle interface for an L2 automated v
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Roberts, S. C., & Ebadi, Y. (2019). Designing an Informative Interface for Transfer of Control in Level 2 Automated Driving System (Report No. UM-4-Y2). Safety Research Using Simulation (SAFER-SIM) University Transportation Center. https://rosap.ntl.bts.gov/view/dot/61062
Roberts, Shannon C and Yalda Ebadi. Designing an Informative Interface for Transfer of Control in Level 2 Automated Driving System. Report no. UM-4-Y2. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2019. https://rosap.ntl.bts.gov/view/dot/61062.
Roberts, Shannon C, and Yalda Ebadi Designing an Informative Interface for Transfer of Control in Level 2 Automated Driving System. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2019, Report no. UM-4-Y2, ROSA P. https://rosap.ntl.bts.gov/view/dot/61062.
Disruptive transportation technologies such as autonomous vehicles and mobility-on-demand services are bringing transformative changes in the urban area. To enhance our understanding of various impacts of these new mobility options on travel behavior and relative consequences, people’s attitudes towards and perceptions of these technologies and ser
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Khoeini, S., Pendyala, R. M., da Silva, D. C., Lee, Y., Dias, F., Salon, D., Circella, G., & Maness, M. (2019). Attitudes Towards Emerging Mobility Options and Technologies – Phase 2: Pilot and Full Survey Deployment. Center for Teaching Old Models New Tricks (TOMNET). https://rosap.ntl.bts.gov/view/dot/65847
Khoeini, Sara, Ram M. Pendyala, Denise Capasso da Silva, Youngsung Lee, Felipe Dias, Deborah Salon, Giovanni Circella, and Michael Maness. Attitudes Towards Emerging Mobility Options and Technologies – Phase 2: Pilot and Full Survey Deployment. Center for Teaching Old Models New Tricks (TOMNET), 2019. https://rosap.ntl.bts.gov/view/dot/65847.
Khoeini, Sara, et al. Attitudes Towards Emerging Mobility Options and Technologies – Phase 2: Pilot and Full Survey Deployment. Center for Teaching Old Models New Tricks (TOMNET), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/65847.
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