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.
In 2015, South Carolina ranked third in the nation in pedestrian fatalities per 100,000 population. Out of 979 total motor vehicle fatalities, 123 involved pedestrians, accounting for over 12% of all road user fatalities in South Carolina. While some individuals make conscious choices to walk and dwell in transit-oriented or mixed-use walkable comm
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Ogle, J. H., Islam, S., Brown, K. T., Mwakalonge, J. L., Michalaka, D., & Chowdhury, M. (. (2020). Assessment of Safety Benefits of Technologies to Reduce Pedestrian Crossing Fatalities at Midblock Locations. Center for Connected Multimodal Mobility, Clemson University. https://rosap.ntl.bts.gov/view/dot/53588
Ogle, Jennifer H, Sababa Islam, Kweku T Brown, Judith L Mwakalonge, Dimitra Michalaka, and Mashrur (Ronnie) Chowdhury. Assessment of Safety Benefits of Technologies to Reduce Pedestrian Crossing Fatalities at Midblock Locations. Center for Connected Multimodal Mobility, Clemson University, 2020. https://rosap.ntl.bts.gov/view/dot/53588.
Ogle, Jennifer H, et al. Assessment of Safety Benefits of Technologies to Reduce Pedestrian Crossing Fatalities at Midblock Locations. Center for Connected Multimodal Mobility, Clemson University, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/53588.
One of the biggest highly automated vehicle (HAV) market barriers may be a lack of user trust in the automated driving system itself. Research has shown that this lack of faith in the system primarily stems from a lack of system transparency while the vehicle is in motion—users are not informed how the car will react in an upcoming scenario—and not
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Basantis, A., Miller, M., Doerzaph, Z., & Neurauter, L. (2020). Assessing Alternate Approaches for Conveying Automated Vehicle ‘Intentions’ (Report No. 03-082). Virginia Tech Transportation Institute. https://rosap.ntl.bts.gov/view/dot/54688
Basantis, Alexis, Marty Miller, Zachary Doerzaph, and Luke Neurauter. Assessing Alternate Approaches for Conveying Automated Vehicle ‘Intentions’. Report no. 03-082. Virginia Tech Transportation Institute, 2020. https://rosap.ntl.bts.gov/view/dot/54688.
Basantis, Alexis, et al. Assessing Alternate Approaches for Conveying Automated Vehicle ‘Intentions’. Virginia Tech Transportation Institute, 2020, Report no. 03-082, ROSA P. https://rosap.ntl.bts.gov/view/dot/54688.
The research aims at developing a resilient framework to be applied to transportation systems using connected and autonomous vehicles (CAVs). This innovation potentially responds to accident rates often related to inefficient communication systems, supported by a variety of state-of-the-art safety applications. A Vehicular Ad hoc Network (VANET) is
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Zhu, Q., Zimmerman, R., Fang, S., & Zhou, S. (2020). Developing Secure Strategies for Vehicular Ad hoc Networks in Connected and Autonomous Vehicles. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART). https://rosap.ntl.bts.gov/view/dot/58935
Zhu, Quanyan, Rae Zimmerman, Song Fang, and Siyu Zhou. Developing Secure Strategies for Vehicular Ad hoc Networks in Connected and Autonomous Vehicles. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2020. https://rosap.ntl.bts.gov/view/dot/58935.
Zhu, Quanyan, et al. Developing Secure Strategies for Vehicular Ad hoc Networks in Connected and Autonomous Vehicles. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/58935.
Autonomous vehicles (AVs) will challenge cities in many ways that are critical to address before widescale adoption. In particular, AVs may upset municipal budgets as they upend traditional auto-related funding streams like registration fees and parking revenues. This research begins to quantify the potential financial impacts of AVs by analyzing c
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Brown, A., & Clark, B. Y. (2020). What Makes Cents? How Uber Shapes Municipal On-Street Parking Revenue (Report No. NITC2016-UO-15). National Institute for Transportation and Communities (NITC). https://rosap.ntl.bts.gov/view/dot/54611
Brown, Anne and Benjamin Y Clark. What Makes Cents? How Uber Shapes Municipal On-Street Parking Revenue. Report no. NITC2016-UO-15. National Institute for Transportation and Communities (NITC), 2020. https://rosap.ntl.bts.gov/view/dot/54611.
Brown, Anne, and Benjamin Y Clark What Makes Cents? How Uber Shapes Municipal On-Street Parking Revenue. National Institute for Transportation and Communities (NITC), 2020, Report no. NITC2016-UO-15, ROSA P. https://rosap.ntl.bts.gov/view/dot/54611.
Autonomous and automated vehicles (AVs) will provide many opportunities for mobility and independence for people with vision impairments (PwVI). This project provides insights on the challenges and potential barriers to their adoption of AVs. The authors examine adoption and use of ridesharing services. The authors study ridesharing as a proxy for
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Brewer, R., & Ellison, N. (2020). Supporting People with Vision Impairments in Automated Vehicles: Challenge and Opportunities (Report No. F049674). University of Michigan. Center for Connected and Automated Transportation. https://rosap.ntl.bts.gov/view/dot/56391
Brewer, Robin and Nicole Ellison. Supporting People with Vision Impairments in Automated Vehicles: Challenge and Opportunities. Report no. F049674. University of Michigan. Center for Connected and Automated Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/56391.
Brewer, Robin, and Nicole Ellison Supporting People with Vision Impairments in Automated Vehicles: Challenge and Opportunities. University of Michigan. Center for Connected and Automated Transportation, 2020, Report no. F049674, ROSA P. https://rosap.ntl.bts.gov/view/dot/56391.
In 2015, South Carolina ranked third in the nation in pedestrian fatalities per 100,000 population. Out of 979 total motor vehicle fatalities, 123 involved pedestrians, accounting for over 12% of all road user fatalities in South Carolina. While some individuals make conscious choices to walk and dwell in transit-oriented or mixed-use walkable comm
...
DatasetSupporting Files
Ogle, J. H., Islam, S., Brown, K. T., Mwakalonge, J. L., Michalaka, D., & Chowdhury, M. (. (2020). Assessment of Safety Benefits of Technologies to Reduce Pedestrian Crossing Fatalities at Midblock Locations [supporting datasets]. Center for Connected Multimodal Mobility, Clemson University. https://rosap.ntl.bts.gov/view/dot/53919
Ogle, Jennifer H, Sababa Islam, Kweku T Brown, Judith L Mwakalonge, Dimitra Michalaka, and Mashrur (Ronnie) Chowdhury. Assessment of Safety Benefits of Technologies to Reduce Pedestrian Crossing Fatalities at Midblock Locations [supporting datasets]. Center for Connected Multimodal Mobility, Clemson University, 2020. https://rosap.ntl.bts.gov/view/dot/53919.
Ogle, Jennifer H, et al. Assessment of Safety Benefits of Technologies to Reduce Pedestrian Crossing Fatalities at Midblock Locations [supporting datasets]. Center for Connected Multimodal Mobility, Clemson University, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/53919.
Future transportation system is expected to be in a hybrid form instead of the basic road-vehicle-passenger relationship that is still very common in most transportation systems. That is to say, future transportation will cover additional scenarios and different types of vehicles with partial or full automation. A very representative example is the
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Yang, D., Redmill, K., & Ozguner, U. (2020). Understanding and Guiding Pedestrian and Crowd Motion. Mobility21, Carnegie Mellon University. https://rosap.ntl.bts.gov/view/dot/56055
Yang, Dongfang, Keith Redmill, and Umit Ozguner. Understanding and Guiding Pedestrian and Crowd Motion. Mobility21, Carnegie Mellon University, 2020. https://rosap.ntl.bts.gov/view/dot/56055.
Yang, Dongfang, et al. Understanding and Guiding Pedestrian and Crowd Motion. Mobility21, Carnegie Mellon University, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/56055.
The portion of the research project included in this volume focused on 12 Federal Motor Vehicle Safety Standards (FMVSS). It provides research findings, including the performance requirements and the test procedures, in terms of options regarding technical translations based on potential regulatory barriers identified for compliance verification of
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Blanco, M., Chaka, M., Stowe, L., Gabler, H. C., Weinstein, K., Gibbons, R. B., Neurauter, L., McNeil, J., Fitzgerald, K. E., Tatem, W., & Fitchett, V. (2020). FMVSS Considerations for Vehicles with Automated Driving Systems: Volume 1 (Report No. DOT HS 812 796). United States. Department of Transportation. National Highway Traffic Safety Administration. https://doi.org/10.21949/1530202
Blanco, Myra, Michelle Chaka, L. Stowe, H. Clay Gabler, Kenneth Weinstein, Ronald B Gibbons, and Luke Neurauter, et al.. FMVSS Considerations for Vehicles with Automated Driving Systems: Volume 1. Report no. DOT HS 812 796. United States. Department of Transportation. National Highway Traffic Safety Administration, 2020. https://doi.org/10.21949/1530202.
Blanco, Myra, et al. FMVSS Considerations for Vehicles with Automated Driving Systems: Volume 1. United States. Department of Transportation. National Highway Traffic Safety Administration, 2020, Report no. DOT HS 812 796, ROSA P. https://doi.org/10.21949/1530202.
This report used a scenario-planning approach to develop and analyze the range of potential effects that autonomous vehicles will have on the District and the region in the future. Among many things, the results show that this transportation technology can be used to advance the District’s economic growth and aid our housing affordability issues an
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Bowser, Muriel DC Autonomous Vehicles Study Final Report. District of Columbia. Dept. of Transportation, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/88382.
Self-driving vehicles, as a revolution in mobility, are emerging and developing rapidly. However, public attitudes toward this new unproven technology are still uncertain. Given the significant influence of attitude toward a new technology on the intention to use it, the question arises as to why some people are in favor of this technology whereas
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Xing, Y., Handy, S. L., Circella, G., Wang, Y., & Alemi, F. (2020). Exploring the Role of Attitude in the Acceptance of Self-Driving Shuttles (Report No. NCST-UCD-RR-20-14). University of California, Berkeley. Institute of Transportation Studies. https://doi.org/10.7922/G2Q52MVZ
Xing, Yan, Susan L Handy, Giovanni Circella, Yunshi Wang, and Farzad Alemi. Exploring the Role of Attitude in the Acceptance of Self-Driving Shuttles. Report no. NCST-UCD-RR-20-14. University of California, Berkeley. Institute of Transportation Studies, 2020. https://doi.org/10.7922/G2Q52MVZ.
Xing, Yan, et al. Exploring the Role of Attitude in the Acceptance of Self-Driving Shuttles. University of California, Berkeley. Institute of Transportation Studies, 2020, Report no. NCST-UCD-RR-20-14, ROSA P. https://doi.org/10.7922/G2Q52MVZ.
As autonomous vehicle (AV) innovation continues to gain worldwide momentum and with it the potential for expanded mobility, it is vital to consider how this technology can contribute to improved access for persons with disabilities, who represent one in four U.S. adults, or over 60 million persons. To date, there has been limited research focused o
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Feeley, C., Lubin, A., Hwang, J., Tobin, B., & Kornhauser, A. (2020). Autonomous Vehicles: Capturing In-Vehicle Experience & Focus Group Follow-Up With Persons With Autism and Other Disabilities at the 2019 Princeton University SmartDrivingCar Summit (Report No. CAIT-UTC-REG21). Rutgers University. Center for Advanced Infrastructure and Transportation. https://doi.org/10.7910/DVN/GPEBOL
Feeley, Cecilia, Andrea Lubin, Jinuk Hwang, Brian Tobin, and Alain Kornhauser. Autonomous Vehicles: Capturing In-Vehicle Experience & Focus Group Follow-Up With Persons With Autism and Other Disabilities at the 2019 Princeton University SmartDrivingCar Summit. Report no. CAIT-UTC-REG21. Rutgers University. Center for Advanced Infrastructure and Transportation, 2020. https://doi.org/10.7910/DVN/GPEBOL.
Feeley, Cecilia, et al. Autonomous Vehicles: Capturing In-Vehicle Experience & Focus Group Follow-Up With Persons With Autism and Other Disabilities at the 2019 Princeton University SmartDrivingCar Summit. Rutgers University. Center for Advanced Infrastructure and Transportation, 2020, Report no. CAIT-UTC-REG21, ROSA P. https://doi.org/10.7910/DVN/GPEBOL.
Intersection crashes can be potentially mitigated by leveraging deployments of vehicle-to-infrastructure (V2I) and vehicle-to- vehicle (V2V) safety management solutions. However, it is equally critical that these deployments are undertaken in tandem with interventions based on human factors evidence relating to the content and presentation of such
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Pradhan, A. K., Jeong, H., & Bao, S. (2020). Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) and Their Impact on Driver Behavior, Acceptance, and Safety (Report No. UMTRI-2020-3). University of Michigan. Center for Connected and Automated Transportation. https://rosap.ntl.bts.gov/view/dot/58947
Pradhan, Anuj K., Heejin Jeong, and Shan Bao. Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) and Their Impact on Driver Behavior, Acceptance, and Safety. Report no. UMTRI-2020-3. University of Michigan. Center for Connected and Automated Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/58947.
Pradhan, Anuj K., et al. Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) and Their Impact on Driver Behavior, Acceptance, and Safety. University of Michigan. Center for Connected and Automated Transportation, 2020, Report no. UMTRI-2020-3, ROSA P. https://rosap.ntl.bts.gov/view/dot/58947.
This review brings together the bodies of literature on transportation equity analysis, travel behavior forecasting, and impacts of connected and autonomous vehicles (CAVs), with the ultimate objective of highlighting important research needs for measuring the transportation equity implications of CAVs. In comparison to previous reviews of social i
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Bills, T., & Tian, T. (2020). On Transportation Equity Implications of Connected and Autonomous Vehicles (CAV): A Review of Methodologies (Report No. CCAT Project No. 5). University of Michigan. Center for Connected and Automated Transportation. https://rosap.ntl.bts.gov/view/dot/60559
Bills, Tierra and Tian Tian. On Transportation Equity Implications of Connected and Autonomous Vehicles (CAV): A Review of Methodologies. Report no. CCAT Project No. 5. University of Michigan. Center for Connected and Automated Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/60559.
Bills, Tierra, and Tian Tian On Transportation Equity Implications of Connected and Autonomous Vehicles (CAV): A Review of Methodologies. University of Michigan. Center for Connected and Automated Transportation, 2020, Report no. CCAT Project No. 5, ROSA P. https://rosap.ntl.bts.gov/view/dot/60559.
The development of autonomous vehicles that behave as independent robots relying solely on their on-board sensors to operate in highly uncertain environments which are to be learned using massive data and machine learning and artificial intelligence techniques is an approach that dominated the industry of autonomous vehicles. Current autonomous veh
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Iannou, P., & Monteiro, F. V. (2020). Connected Autonomous Vehicles: Safety During Merging and Lane Change and Impact on Traffic Flow [Research Brief]. METRANS Transportation Center (Calif.). https://rosap.ntl.bts.gov/view/dot/67955
Iannou, Petros and Fernando V Monteiro. Connected Autonomous Vehicles: Safety During Merging and Lane Change and Impact on Traffic Flow [Research Brief]. METRANS Transportation Center (Calif.), 2020. https://rosap.ntl.bts.gov/view/dot/67955.
Iannou, Petros, and Fernando V Monteiro Connected Autonomous Vehicles: Safety During Merging and Lane Change and Impact on Traffic Flow [Research Brief]. METRANS Transportation Center (Calif.), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/67955.
This study was designed to help public agencies understand what activities are most likely to help them achieve their pilot project goals. Researchers describe 10 recommended actions for all pilot projects, regardless of the mode. Researchers focused on pilot projects in the United States and Canada that involve testing of new mobility services and
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Steckler, B., Coia, J., Howell, A., Kaplowitz, G., Stoll, M., & Yang, H. (2020). Perfecting Policy with Pilots: New Mobility and AV Urban Delivery Pilot Project Assessment. University of Oregon, Urbanism Next Center. https://rosap.ntl.bts.gov/view/dot/60744
Steckler, Becky, Juliette Coia, Amanda Howell, Grace Kaplowitz, Matthew Stoll, and Huajie Yang. Perfecting Policy with Pilots: New Mobility and AV Urban Delivery Pilot Project Assessment. University of Oregon, Urbanism Next Center, 2020. https://rosap.ntl.bts.gov/view/dot/60744.
Steckler, Becky, et al. Perfecting Policy with Pilots: New Mobility and AV Urban Delivery Pilot Project Assessment. University of Oregon, Urbanism Next Center, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/60744.
The potential for automated vehicles (AVs) to reduce parking to allow for the conversion of on-and off-street parking to new uses, such as new space for walk, bike, and shared -micro-mobility services, and housing), has sparked significant interest among urban planners. AVs could drop-off and pick-up passengers in areas where parking costs are high
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DatasetSupporting Files
Rodier, C., & Chai, H. (2020). Automated Vehicles and Central Business District Parking: The Effects of Drop-off-Travel on Traffic Flow and Vehicle Emissions [supporting datasets] (Report No. NCST-UCD-RR-20-17, UCD-ITS-RR-20-33). University of California, Davis. https://doi.org/10.25338/B8DG7P
Rodier, Caroline and Huajun Chai. Automated Vehicles and Central Business District Parking: The Effects of Drop-off-Travel on Traffic Flow and Vehicle Emissions [supporting datasets]. Report no. NCST-UCD-RR-20-17, UCD-ITS-RR-20-33. University of California, Davis, 2020. https://doi.org/10.25338/B8DG7P.
Rodier, Caroline, and Huajun Chai Automated Vehicles and Central Business District Parking: The Effects of Drop-off-Travel on Traffic Flow and Vehicle Emissions [supporting datasets]. University of California, Davis, 2020, Report no. NCST-UCD-RR-20-17, UCD-ITS-RR-20-33, ROSA P. https://doi.org/10.25338/B8DG7P.
Traffic signals, while serving an important function to coordinate vehicle movements through intersections, also cause frequent stops and delays, particularly when they are not properly timed. Such stops and delays contribute to significant amount of fuel consumption and greenhouse gas emissions. The recent development of connected and automated ve
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Han, X., Ma, R., & Zhang, M. (2020). Optimal Driving of Autonomous Vehicle Platoons on Arterial Streets to Reduce Fuel Consumption. Cornell University. Center for Transportation, Environment, and Community Health. (CTECH). https://rosap.ntl.bts.gov/view/dot/55188
Han, Xiao, Rui Ma, and Michael Zhang. Optimal Driving of Autonomous Vehicle Platoons on Arterial Streets to Reduce Fuel Consumption. Cornell University. Center for Transportation, Environment, and Community Health. (CTECH), 2020. https://rosap.ntl.bts.gov/view/dot/55188.
Han, Xiao, et al. Optimal Driving of Autonomous Vehicle Platoons on Arterial Streets to Reduce Fuel Consumption. Cornell University. Center for Transportation, Environment, and Community Health. (CTECH), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/55188.
How to generate testing scenario libraries for connected and automated vehicles (CAVs) is a major challenge faced by the industry. In previous studies, to evaluate maneuver challenge of a scenario, surrogate models (SMs) are often used without explicit knowledge of the CAV under test. However, performance dissimilarities between the SM and the CAV
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Liu, H., & Feng, Y. (2020). Accelerated Training for Connected and Automated Vehicles Based on Adaptive Evaluation Method. University of Michigan. Center for Connected and Automated Transportation. https://dx.doi.org/10.7302/7017
Liu, Henry and Yiheng Feng. Accelerated Training for Connected and Automated Vehicles Based on Adaptive Evaluation Method. University of Michigan. Center for Connected and Automated Transportation, 2020. https://dx.doi.org/10.7302/7017.
Liu, Henry, and Yiheng Feng Accelerated Training for Connected and Automated Vehicles Based on Adaptive Evaluation Method. University of Michigan. Center for Connected and Automated Transportation, 2020, ROSA P. https://dx.doi.org/10.7302/7017.
Studies over the past decade have shown that eco-driving systems which provide speed advisories to drivers/vehicles using data received via vehicle-to-infrastructure and vehicle-to-vehicle communications can help improve traffic mobility and reduce vehicle energy and emission levels. This study extends the Eco-Cooperative Adaptive Cruise Control (E
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Chen, H., Rakha, H. A., Jeihani, M., & Ahangari, S. (2020). Developing and Testing an ECO-Cooperative Adaptive Cruise Control System for Buses (Report No. UMEC-010). Urban Mobility & Equity Center. https://rosap.ntl.bts.gov/view/dot/55546
Chen, Hao, Hesham A. Rakha, Mansoureh Jeihani, and Samira Ahangari. Developing and Testing an ECO-Cooperative Adaptive Cruise Control System for Buses. Report no. UMEC-010. Urban Mobility & Equity Center, 2020. https://rosap.ntl.bts.gov/view/dot/55546.
Chen, Hao, et al. Developing and Testing an ECO-Cooperative Adaptive Cruise Control System for Buses. Urban Mobility & Equity Center, 2020, Report no. UMEC-010, ROSA P. https://rosap.ntl.bts.gov/view/dot/55546.
Connected and autonomous vehicles (CAVs) have the capability to acquire real-time information from each other while human-driven vehicles (HVs) are standalone in the vehicle roadway navigation system. The information asymmetry poses great challenges in managing and controlling vehicles in the mixed traffic. To address such challenges, a new lane-ch
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Whalin, R. W., & Hu, G. (2020). Macroscopic Fundamental Diagram Approach to Traffic Flow With Autonomous/Connected Vehicles (Report No. Project O2). Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE). https://rosap.ntl.bts.gov/view/dot/57432
Whalin, Robert W and Guojing Hu. Macroscopic Fundamental Diagram Approach to Traffic Flow With Autonomous/Connected Vehicles. Report no. Project O2. Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE), 2020. https://rosap.ntl.bts.gov/view/dot/57432.
Whalin, Robert W, and Guojing Hu Macroscopic Fundamental Diagram Approach to Traffic Flow With Autonomous/Connected Vehicles. Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE), 2020, Report no. Project O2, ROSA P. https://rosap.ntl.bts.gov/view/dot/57432.
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