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.
This toolbox was developed to provide a summary of information that local agencies should be aware of to prepare for connected and autonomous vehicles (CAVs). The main goal of this toolbox is to assist local agencies in preparing for CAVs in the short term—5 to 10 years. Since local agencies are not generally expected to have the resources to becom
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Hallmark, S., Veneziano, D., & Litteral, T. (2019). Preparing Local Agencies for the Future of Connected and Autonomous Vehicles (Report No. MN/RC 2019-18). Minnesota. Dept. of Transportation. Research Services & Library. https://rosap.ntl.bts.gov/view/dot/61828
Hallmark, Shauna, David Veneziano, and Theresa Litteral. Preparing Local Agencies for the Future of Connected and Autonomous Vehicles. Report no. MN/RC 2019-18. Minnesota. Dept. of Transportation. Research Services & Library, 2019. https://rosap.ntl.bts.gov/view/dot/61828.
Hallmark, Shauna, et al. Preparing Local Agencies for the Future of Connected and Autonomous Vehicles. Minnesota. Dept. of Transportation. Research Services & Library, 2019, Report no. MN/RC 2019-18, ROSA P. https://rosap.ntl.bts.gov/view/dot/61828.
This report is an examination of parking, curb zones, and government service changes in the context of AVs. Given that there are very few actual AVs on the road, the analysis in this report is an attempt to project what we might see, using the current phenomenon as starting points. The report uses a mix of econometric modeling, cost accounting, and
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Clark, B. Y. (2019). How Will Autonomous Vehicles Change Local Government Budgeting and Finance? Case Studies of On-Street Parking, Curb Management, and Solid Waste Collection (Report No. NITC-SS-1174). National Institute for Transportation and Communities (NITC). https://rosap.ntl.bts.gov/view/dot/41699
Clark, Benjamin Y. How Will Autonomous Vehicles Change Local Government Budgeting and Finance? Case Studies of On-Street Parking, Curb Management, and Solid Waste Collection. Report no. NITC-SS-1174. National Institute for Transportation and Communities (NITC), 2019. https://rosap.ntl.bts.gov/view/dot/41699.
Clark, Benjamin Y How Will Autonomous Vehicles Change Local Government Budgeting and Finance? Case Studies of On-Street Parking, Curb Management, and Solid Waste Collection. National Institute for Transportation and Communities (NITC), 2019, Report no. NITC-SS-1174, ROSA P. https://rosap.ntl.bts.gov/view/dot/41699.
Autonomous vehicles create new opportunities for innovative intelligent traffic systems. Variable speed limits, which is a speed management systems that can adjust the speed limit according to traffic condition or predefined speed control algorithm on different road segments, can be better implemented with the cooperation of autonomous vehicles. Th
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Levin, M. W., Chen, R., Liao, C. F., & Zhang, T. (2019). Improving Intersection Safety through Variable Speed Limits for Connected Vehicles (Report No. CTS 19-12). Roadway Safety Institute (UTC). https://rosap.ntl.bts.gov/view/dot/42704
Levin, Michael W., Rongsheng Chen, Chen-Fu Liao, and Tab Zhang. Improving Intersection Safety through Variable Speed Limits for Connected Vehicles. Report no. CTS 19-12. Roadway Safety Institute (UTC), 2019. https://rosap.ntl.bts.gov/view/dot/42704.
Levin, Michael W., et al. Improving Intersection Safety through Variable Speed Limits for Connected Vehicles. Roadway Safety Institute (UTC), 2019, Report no. CTS 19-12, ROSA P. https://rosap.ntl.bts.gov/view/dot/42704.
Over the past decade, several studies have determined that vehicles equipped with forward collision warning (FCW) systems can help drivers reduce their likelihood of getting into a crash. To date, the research has only addressed the initial safety benefits incurred by drivers using FCW systems based on short-term exposure (up to one month), and not
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Nodine, E. E., Fisher, D. L., Golembiewski, G., Armstrong, C., Lam, A. H., Jeffers, M. A., Najm, W. G., Miller, S., Jackson, S., & Kehoe, N. (2019). Indicators of Driver Adaptation to Forward Collision Warnings: A Naturalistic Driving Evaluation (Report No. DOT HS 812 611). United States. Department of Transportation. National Highway Traffic Safety Administration. https://doi.org/10.21949/1530149
Nodine, Emily E., Donald L. Fisher, Gary Golembiewski, Chris Armstrong, Andy H. Lam, Mary Anne Jeffers, Wassim G. Najm, Sheryl Miller, Steven Jackson, and Nicholas Kehoe. Indicators of Driver Adaptation to Forward Collision Warnings: A Naturalistic Driving Evaluation. Report no. DOT HS 812 611. United States. Department of Transportation. National Highway Traffic Safety Administration, 2019. https://doi.org/10.21949/1530149.
Nodine, Emily E., et al. Indicators of Driver Adaptation to Forward Collision Warnings: A Naturalistic Driving Evaluation. United States. Department of Transportation. National Highway Traffic Safety Administration, 2019, Report no. DOT HS 812 611, ROSA P. https://doi.org/10.21949/1530149.
The CITR dataset was collected in the controlled experiments that were conducted in a parking lot near the facility of Control and Intelligent Transportation Research (CITR) Lab at The Ohio State University (OSU). The controlled experiments consist of a series of fundamental vehicle-crowd interactions in the hope of analyzing interactive pedestrian
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DatasetSupporting Files
Yang, D., Redmill, K., & Ozguner, U. (2019). Understanding and Guiding Pedestrian and Crowd Motion [supporting datasets]. Mobility21, Carnegie Mellon University. https://rosap.ntl.bts.gov/view/dot/56255
Yang, Dongfang, Keith Redmill, and Umit Ozguner. Understanding and Guiding Pedestrian and Crowd Motion [supporting datasets]. Mobility21, Carnegie Mellon University, 2019. https://rosap.ntl.bts.gov/view/dot/56255.
Yang, Dongfang, et al. Understanding and Guiding Pedestrian and Crowd Motion [supporting datasets]. Mobility21, Carnegie Mellon University, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/56255.
Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we systematically review the potential solutions that take advantage of connected and automated vehicles (CAVs) to improve the control performances of urban signalized int
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Guo, Q., Li, L., & Ban, X. (. (2019). Urban Traffic Signal Control With Connected and Automated Vehicles: A Survey. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART). https://rosap.ntl.bts.gov/view/dot/42376
Guo, Qiangqiang, Li Li, and Xuegang (Jeff) Ban. Urban Traffic Signal Control With Connected and Automated Vehicles: A Survey. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2019. https://rosap.ntl.bts.gov/view/dot/42376.
Guo, Qiangqiang, et al. Urban Traffic Signal Control With Connected and Automated Vehicles: A Survey. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/42376.
This report summarizes current challenges that people with disabilities face and speculates as to which requirements might be necessary for a “fully automated” and “fully accessible” vehicle to indeed be accessible. There are still gaps in accessibility and plenty of lessons learned from several decades of experience with the Americans with Disabil
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Bayless, S. H., & Davidson, S. (2019). Driverless Cars and Accessibility: Designing the Future of Transportation for People with Disabilities. Intelligent Transportation Society of America. https://rosap.ntl.bts.gov/view/dot/64474
Bayless, Steven H. and Sara Davidson. Driverless Cars and Accessibility: Designing the Future of Transportation for People with Disabilities. Intelligent Transportation Society of America, 2019. https://rosap.ntl.bts.gov/view/dot/64474.
Bayless, Steven H., and Sara Davidson Driverless Cars and Accessibility: Designing the Future of Transportation for People with Disabilities. Intelligent Transportation Society of America, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/64474.
Pedestrian deaths are on the rise with 6,227 estimated for 2018, the highest since 1990. Distractions such as walking while looking at electronic devices are the third leading cause of fatalities and recent research has shown that injuries from distracted walking have increased 81% since 2005. The introduction of self-driving cars could further com
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Supporting Files
Cummings, M., Huang, L., Clamann, M., & Li, S. (2019). Development and Evaluation of Vehicle to Pedestrian (V2P) Safety Interventions (Report No. CSCRS-R7). Collaborative Sciences Center for Road Safety. https://rosap.ntl.bts.gov/view/dot/63325
Cummings, Mary, Lixiao Huang, Michael Clamann, and Songpo Li. Development and Evaluation of Vehicle to Pedestrian (V2P) Safety Interventions. Report no. CSCRS-R7. Collaborative Sciences Center for Road Safety, 2019. https://rosap.ntl.bts.gov/view/dot/63325.
Cummings, Mary, et al. Development and Evaluation of Vehicle to Pedestrian (V2P) Safety Interventions. Collaborative Sciences Center for Road Safety, 2019, Report no. CSCRS-R7, ROSA P. https://rosap.ntl.bts.gov/view/dot/63325.
Technologies for Safe and Efficient Transportation. University Transportation Center
2019-03-06
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The final project report for the SmartShuttle sub-project of the Ohio State University is presented in this report. This has been a two year project where the unified, scalable and replicable automated driving architecture introduced by the Automated Driving Lab of the Ohio State University has been further developed, replicated in different vehicl
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Technologies for Safe and Efficient Transportation. University Transportation Center (2019). SmartShuttle: Model Based Design and Evaluation of Automated On-Demand Shuttles for Solving the First-Mile and Last-Mile Problem in a Smart City. Technologies for Safe and Efficient Transportation. University Transportation Center. https://rosap.ntl.bts.gov/view/dot/63227
Technologies for Safe and Efficient Transportation. University Transportation Center. SmartShuttle: Model Based Design and Evaluation of Automated On-Demand Shuttles for Solving the First-Mile and Last-Mile Problem in a Smart City. Technologies for Safe and Efficient Transportation. University Transportation Center, 2019. https://rosap.ntl.bts.gov/view/dot/63227.
Technologies for Safe and Efficient Transportation. University Transportation Center SmartShuttle: Model Based Design and Evaluation of Automated On-Demand Shuttles for Solving the First-Mile and Last-Mile Problem in a Smart City. Technologies for Safe and Efficient Transportation. University Transportation Center, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/63227.
This report categorizes and summarizes efforts that are already underway in cities across the world to rethink curb management, to outline the key takeaways from the one-day workshop that involved city staff from Portland, Seattle, and Vancouver, and to identify major research gaps. Key findings include: (1) The curb is a finite resource and it nee
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Howell, A., Larco, N., Lewis, R., & Steckler, B. (2019). New Mobility in the Right-of-Way. University of Oregon, Urbanism Next Center. https://rosap.ntl.bts.gov/view/dot/60740
Howell, Amanda, Nico Larco, Rebecca Lewis, and Becky Steckler. New Mobility in the Right-of-Way. University of Oregon, Urbanism Next Center, 2019. https://rosap.ntl.bts.gov/view/dot/60740.
Regional travel demand models are an institutionalized element of the transportation planning process and require multiple years to develop, calibrate, and deploy. Because transportation planners are being asked immediately how a new technology, i.e., driverless vehicles (DVs), may affect travel demand, this study, using a case study approach with
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Miller, J. S., & Kang, D. (2019). Ways to Consider Driverless Vehicles in Virginia Long Range Travel Demand Models (Report No. FHWA/VTRC 19-R11). Virginia Transportation Research Council (VTRC). https://rosap.ntl.bts.gov/view/dot/40043
Miller, John S. and Di Kang. Ways to Consider Driverless Vehicles in Virginia Long Range Travel Demand Models. Report no. FHWA/VTRC 19-R11. Virginia Transportation Research Council (VTRC), 2019. https://rosap.ntl.bts.gov/view/dot/40043.
Miller, John S., and Di Kang Ways to Consider Driverless Vehicles in Virginia Long Range Travel Demand Models. Virginia Transportation Research Council (VTRC), 2019, Report no. FHWA/VTRC 19-R11, ROSA P. https://rosap.ntl.bts.gov/view/dot/40043.
The transportation sector accounts for the largest portion of greenhouse gas (GHG) emissions compared to all other sectors, and GHGs are once again on the rise. At the same time, new mobility technologies are being introduced and fully autonomous vehicles (AVs) are anticipated to be deployed, at least to varying extents, within 5-10 years. (Waymo,
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University of Oregon (2019). Policy Brief – AVs in the Pacific Northwest: Reducing Greenhouse Gas Emissions in a Time of Automation. University of Oregon, Urbanism Next Center. https://rosap.ntl.bts.gov/view/dot/60747
University of Oregon. Policy Brief – AVs in the Pacific Northwest: Reducing Greenhouse Gas Emissions in a Time of Automation. University of Oregon, Urbanism Next Center, 2019. https://rosap.ntl.bts.gov/view/dot/60747.
University of Oregon Policy Brief – AVs in the Pacific Northwest: Reducing Greenhouse Gas Emissions in a Time of Automation. University of Oregon, Urbanism Next Center, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/60747.
Texas. Dept. of Transportation. Research and Technology Implementation Office
2019-03-01
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The Texas Department of Transportation (TXDOT) hosted a peer exchange in Austin, Texas on March 25-26, 2019 to discuss Freight and Passenger Vehicle Connected and Automated Vehicles (CAV) programs. Attendees included invited participants from other State DOTs (California, Florida, Pennsylvania, Michigan, Arizona, Colorado, and Nevada), the Federal
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Texas. Dept. of Transportation. Research and Technology Implementation Office (2019). 2019 Texas Research Peer Exchange: Summary Report. Texas Department of Transportation. Research and Technology Implementation Office. https://rosap.ntl.bts.gov/view/dot/48945
Texas. Dept. of Transportation. Research and Technology Implementation Office. 2019 Texas Research Peer Exchange: Summary Report. Texas Department of Transportation. Research and Technology Implementation Office, 2019. https://rosap.ntl.bts.gov/view/dot/48945.
Texas. Dept. of Transportation. Research and Technology Implementation Office 2019 Texas Research Peer Exchange: Summary Report. Texas Department of Transportation. Research and Technology Implementation Office, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/48945.
The exclusive bus lane (XBL) is one of the most popular bus transit systems in US. The Lincoln Tunnel utilizes an XBL through the tunnel in the AM peak period. This paper proposes a novel data-driven cooperative adaptive cruise control (CACC) algorithm that aims to minimize a cost function for connected and autonomous buses along the XBL. Different
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Gao, W., Gao, J., Ozbay, K., & Jiang, Z. P. (2019). Reinforcement-Learning-Based Cooperative Adaptive Cruise Control of Buses in the Lincoln Tunnel Corridor With Time-Varying Topology. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART). http://doi.org/10.1109/TITS.2019.2895285
Gao, Weinan, Jingqin Gao, Kaan Ozbay, and Zhong-Ping Jiang. Reinforcement-Learning-Based Cooperative Adaptive Cruise Control of Buses in the Lincoln Tunnel Corridor With Time-Varying Topology. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2019. http://doi.org/10.1109/TITS.2019.2895285.
Gao, Weinan, et al. Reinforcement-Learning-Based Cooperative Adaptive Cruise Control of Buses in the Lincoln Tunnel Corridor With Time-Varying Topology. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2019, ROSA P. http://doi.org/10.1109/TITS.2019.2895285.
The Future of Mobility series highlighted emerging technologies in urban mobility and priorities for transportation industry change. The transportation landscape is rapidly changing as technology companies introduce new services to address existing transportation issues and innovate new mobility options. With its unique geography, high population d
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Kaufman, S. M. (2019). The Future of Mobility Series. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART). https://rosap.ntl.bts.gov/view/dot/40069
Kaufman, Sarah M.. The Future of Mobility Series. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2019. https://rosap.ntl.bts.gov/view/dot/40069.
Kaufman, Sarah M. The Future of Mobility Series. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/40069.
Autonomous vehicles are proposed as a way to make driving safer. While much research focuses on the technological and engineering aspects of autonomous vehicles, the purpose of these studies were to 1) determine differences in pedestrians’ willingness to cross the street in front of autonomous vehicles based on nationality and gender, 2) determine
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Winter, S. R., Rice, S., Ragbir, N. K., Baugh, B. S., Milner, M. N., Lim, B. L., Capps, J., & Anania, E. C. (2019). Assessing Pedestrians’ Perceptions and Willingness to Interact with Autonomous Vehicles (Report No. CATM-2019-R1-ERAU). Center for Advanced Transportation Mobility, North Carolina A&T State University. https://rosap.ntl.bts.gov/view/dot/55782
Winter, Scott R, Stephen Rice, Nadine K Ragbir, Bradley S Baugh, Mattie N Milner, Bee-Ling Lim, John Capps, and E C Anania. Assessing Pedestrians’ Perceptions and Willingness to Interact with Autonomous Vehicles. Report no. CATM-2019-R1-ERAU. Center for Advanced Transportation Mobility, North Carolina A&T State University, 2019. https://rosap.ntl.bts.gov/view/dot/55782.
Winter, Scott R, et al. Assessing Pedestrians’ Perceptions and Willingness to Interact with Autonomous Vehicles. Center for Advanced Transportation Mobility, North Carolina A&T State University, 2019, Report no. CATM-2019-R1-ERAU, ROSA P. https://rosap.ntl.bts.gov/view/dot/55782.
There is a rapidly growing body of research on the potential impacts of connected and automated vehicles (CAVs), particularly studies on the impacts of adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC).Despite the burgeoning research field, there is little consensus on the magnitude of operational and environmental benefi
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Eilbert, A., Berg, I., & Smith, S. B. (2019). Systematic Review and Meta-Analysis of Adaptive Cruise Control Applications: Operational and Environmental Benefits. John A. Volpe National Transportation Systems Center (U.S.). https://rosap.ntl.bts.gov/view/dot/39013
Eilbert, Andrew, Ian Berg, and Scott B. Smith. Systematic Review and Meta-Analysis of Adaptive Cruise Control Applications: Operational and Environmental Benefits. John A. Volpe National Transportation Systems Center (U.S.), 2019. https://rosap.ntl.bts.gov/view/dot/39013.
Eilbert, Andrew, et al. Systematic Review and Meta-Analysis of Adaptive Cruise Control Applications: Operational and Environmental Benefits. John A. Volpe National Transportation Systems Center (U.S.), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/39013.
Research Objectives: • Assess the socio-economic implications related to SAVs • Identify market segments with different characteristics and different levels of adoption • Identify transportation disadvantaged areas Provide best strategies and suggestions to these areas to ensure smooth transition.
Gkartzonikas, C., Losada-Rojas, L., & Gkritza, K. �. (2019). Public Acceptance of Autonomous Vehicles Across Transportation Disadvantaged Areas in Indianapolis. Purdue University. https://rosap.ntl.bts.gov/view/dot/66754
Gkartzonikas, Christos, Lisa Losada-Rojas, and Konstantina “Nadia” Gkritza. Public Acceptance of Autonomous Vehicles Across Transportation Disadvantaged Areas in Indianapolis. Purdue University, 2019. https://rosap.ntl.bts.gov/view/dot/66754.
Gkartzonikas, Christos, et al. Public Acceptance of Autonomous Vehicles Across Transportation Disadvantaged Areas in Indianapolis. Purdue University, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/66754.
Title of presentation: Anticipated changes in highway agency expenditures and revenues, and user equity in the CAV era. Full citation: Saeed, T.U., Alabi, B.N.T., Miralinaghi, M., Volovski, M., Agbelie, B., Labi, S., Sinha, K.C. (2019). Anticipated changes in highway agency expenditures and revenues, and user equity in the CAV era, Presented at the
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Saeed, T., Alabi, B. N., Miralinaghi, M., Volovski, M., Agbelie, B. R., Labi, S., & Sinha, K. (2019). Anticipated Changes in Highway Agency Expenditures and Revenues, and User Equity in the CAV Era [Presentation]. Center for Connected and Automated Transportation. Purdue University. https://rosap.ntl.bts.gov/view/dot/73520
Saeed, Tariq, Bortiorkor N.T Alabi, Mohammad Miralinaghi, Mathew Volovski, Bismark R. Agbelie, Samuel Labi, and Kumares Sinha. Anticipated Changes in Highway Agency Expenditures and Revenues, and User Equity in the CAV Era [Presentation]. Center for Connected and Automated Transportation. Purdue University, 2019. https://rosap.ntl.bts.gov/view/dot/73520.
Saeed, Tariq, et al. Anticipated Changes in Highway Agency Expenditures and Revenues, and User Equity in the CAV Era [Presentation]. Center for Connected and Automated Transportation. Purdue University, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/73520.
The emergence of shared autonomous vehicles (SAVs) is expected to alter transportation costs and patterns, thus affecting accessibility and mobility (i.e., transportation disadvantage), and could have direct and indirect socio-economic implications, such as access to opportunities and flexible and affordable mobility. This presentation will describ
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Losada-Rojas, L. L., Gkartzonikas, C., & Gkritza, K. �. (2019). Assessing the Socio-Economic Implications Related to the Emergence of Shared Autonomous Vehicles. Purdue University. https://rosap.ntl.bts.gov/view/dot/66749
Losada-Rojas, Lisa Lorena, Christos Gkartzonikas, and Konstantina “Nadia” Gkritza. Assessing the Socio-Economic Implications Related to the Emergence of Shared Autonomous Vehicles. Purdue University, 2019. https://rosap.ntl.bts.gov/view/dot/66749.
Losada-Rojas, Lisa Lorena, et al. Assessing the Socio-Economic Implications Related to the Emergence of Shared Autonomous Vehicles. Purdue University, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/66749.
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