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.
The focus of the Cooperative Adaptive Cruise Control – Small-Scale Test Project is to develop and implement CACC functionality as an extension of conventional ACC technology leveraging DSRC communications between vehicles and with the infrastructure. This report covers activities performed during Phase 1 of the research plan in which a reference AC
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Meier, J., Abuchaar, O., Abubakr, M., Adla, R., Ali, M., Bitar, G., Ibrahim, U., Kailas, A., Kelkar, P., Kumar, V., Moradi-Pari, E., Parikh, J., Rajab, S., Sakakida, M., Yamamoto, M., & Deering, R. (2017). Cooperative Adaptive Cruise Control Small Scale Test- Phase 1: Final Report (Report No. FHWA-JPO-18-617). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/56577
Meier, J., O. Abuchaar, M. Abubakr, R. Adla, M. Ali, George Bitar, and U. Ibrahim, et al.. Cooperative Adaptive Cruise Control Small Scale Test- Phase 1: Final Report. Report no. FHWA-JPO-18-617. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017. https://rosap.ntl.bts.gov/view/dot/56577.
Meier, J., et al. Cooperative Adaptive Cruise Control Small Scale Test- Phase 1: Final Report. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017, Report no. FHWA-JPO-18-617, ROSA P. https://rosap.ntl.bts.gov/view/dot/56577.
This report describes the development, evaluation and refinement of three Vehicle-to-Infrastructure (V2I) safety applications using Dedicated Short Range Communication (DSRC)-based over-the-air messages between the infrastructure and vehicles. The safety applications selected for development were a Red Light Violation Warning application, Curve Spe
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Parikh, J., Abubakr, M., Adla, R., Bitar, G., Goudy, R., Kailas, A., Kelkar, A., Meier, J., Sakakida, M., Vijaya Kumar, V., Yamamoto, M., Deering, R., & Kiger, S. (2017). Vehicle-to-Infrastructure Program Safety Applications Project: Final Report (Report No. FHWA-JPO-18-606). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/37212
Parikh, J., M. Abubakr, R. Adla, George Bitar, R. Goudy, A. Kailas, and Anuja Kelkar, et al.. Vehicle-to-Infrastructure Program Safety Applications Project: Final Report. Report no. FHWA-JPO-18-606. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017. https://rosap.ntl.bts.gov/view/dot/37212.
Parikh, J., et al. Vehicle-to-Infrastructure Program Safety Applications Project: Final Report. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017, Report no. FHWA-JPO-18-606, ROSA P. https://rosap.ntl.bts.gov/view/dot/37212.
Slides depicting vehicle automation scenarios, the modeling approach for the study, and automated vehicle benefits.
Eilbert, A., Noel, G., O'Donnell, B., & Smith, S. (2017). Evaluating Energy and Emissions Impacts of Cooperative Adaptive Cruise Control (CACC) Technology Through Traffic Microsimulations. John A. Volpe National Transportation Systems Center (U.S.). https://rosap.ntl.bts.gov/view/dot/32526
Eilbert, Andrew, George Noel, Brian O'Donnell, and Scott Smith. Evaluating Energy and Emissions Impacts of Cooperative Adaptive Cruise Control (CACC) Technology Through Traffic Microsimulations. John A. Volpe National Transportation Systems Center (U.S.), 2017. https://rosap.ntl.bts.gov/view/dot/32526.
Eilbert, Andrew, et al. Evaluating Energy and Emissions Impacts of Cooperative Adaptive Cruise Control (CACC) Technology Through Traffic Microsimulations. John A. Volpe National Transportation Systems Center (U.S.), 2017, ROSA P. https://rosap.ntl.bts.gov/view/dot/32526.
Connected vehicles (CVs) work by communicating with each other and the roadway infrastructure via dedicated shortrange communication. They are expected to eventually reduce non-impaired driver crashes by 80 percent, which will also significantly reduce traffic congestion. Researchers at Morgan State University in Baltimore, Maryland, spent 4 years
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Morgan State University, & Connected Vehicle/Infrastructure University Transportation Center (2017). What’s a Connected Vehicle Worth to You?. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology. https://doi.org/10.21949/1528841
Morgan State University and Connected Vehicle/Infrastructure University Transportation Center. What’s a Connected Vehicle Worth to You?. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2017. https://doi.org/10.21949/1528841.
Morgan State University, et al. What’s a Connected Vehicle Worth to You?. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2017, ROSA P. https://doi.org/10.21949/1528841.
The Advanced Messaging Concept Development (AMCD) Project objective was to evaluate the ability of connected vehicles to generate, and infrastructure to collect, Basic Safety messages (BSM), Probe Data Message (PDM), and Basic Mobility Message (BMM) alternatives using cellular and DSRC communications while employing message control strategies in re
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Stowe, L., Abubakr, M., Adla, R., Ali, M., Casadei, S., Goudy, R., Kailas, A., Kumar, V., Tafish, H., Yamamoto, M., Doerzaph, Z. R., Song, M., Viray, R., White, E., & Deering, R. (2017). Advanced Messaging Concept Development (AMCD) Project Vehicle-to-Infrastructure Program: Final Report (Report No. FHWA-JPO-18-620). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/37214
Stowe, L., M. Abubakr, R. Adla, M. Ali, S. Casadei, R. Goudy, and A. Kailas, et al.. Advanced Messaging Concept Development (AMCD) Project Vehicle-to-Infrastructure Program: Final Report. Report no. FHWA-JPO-18-620. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017. https://rosap.ntl.bts.gov/view/dot/37214.
Stowe, L., et al. Advanced Messaging Concept Development (AMCD) Project Vehicle-to-Infrastructure Program: Final Report. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017, Report no. FHWA-JPO-18-620, ROSA P. https://rosap.ntl.bts.gov/view/dot/37214.
The University of Iowa (UI) and the leaders of the MyCarDoesWhat campaign partnered with the National Advanced Driving Simulator (NADS) miniSim and the UI Mobile Museum to build an interactive exhibit as part of the overall museum for visitors to experience simulation research and technology. The UI’s Mobile Museum is a 36-foot recreational vehicle
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McDonald, A. B., & McGehee, D. V. (2017). Advanced Vehicle Technology Simulation and Research Outreach to Stem Programs : Research Report Summary. Safety Research Using Simulation (SAFER-SIM) University Transportation Center. https://rosap.ntl.bts.gov/view/dot/36200
McDonald, Ashley B. and Daniel V. McGehee. Advanced Vehicle Technology Simulation and Research Outreach to Stem Programs : Research Report Summary. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2017. https://rosap.ntl.bts.gov/view/dot/36200.
McDonald, Ashley B., and Daniel V. McGehee Advanced Vehicle Technology Simulation and Research Outreach to Stem Programs : Research Report Summary. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2017, ROSA P. https://rosap.ntl.bts.gov/view/dot/36200.
Safety Research Using Simulation (SAFER-SIM) University Transportation Center
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2017-05-01
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UTC Spotlight Newsletter
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One of the largest simulators in the world, the National Advanced Driving Simulator (NADS) at the University of Iowa, was recently used to conduct a study of automated driving as part of a SAFER-SIM University Transportation Center research project. The Center is dedicated to promoting interdisciplinary research using simulation techniques to addre
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Safety Research Using Simulation (SAFER-SIM) University Transportation Center, & University of Iowa (2017). National Advanced Driving Simulator Measures Driver Interactions with Automated Driving System. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology. https://doi.org/10.21949/1528843
Safety Research Using Simulation (SAFER-SIM) University Transportation Center and University of Iowa. National Advanced Driving Simulator Measures Driver Interactions with Automated Driving System. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2017. https://doi.org/10.21949/1528843.
Safety Research Using Simulation (SAFER-SIM) University Transportation Center, et al. National Advanced Driving Simulator Measures Driver Interactions with Automated Driving System. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2017, ROSA P. https://doi.org/10.21949/1528843.
The objective of this study was to identify the risks associated with the failure of autonomous vehicles in mixed traffic streams and develop strategies to minimize these risks. Three distinct and interconnected phases were used to conduct the risk analysis; i) risk identification, ii) risk estimation and iii) evaluation. To identify the risks, the
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Dey, K. C., Chowdhury, M. (., & Das, P. (2017). Risk Analysis of Autonomous Vehicles in Mixed Traffic Streams. City College of New York. University Transportation Research Center. https://rosap.ntl.bts.gov/view/dot/32824
Dey, Kakan Chandra, Mashrur (Ronnie) Chowdhury, and Plaban Das. Risk Analysis of Autonomous Vehicles in Mixed Traffic Streams. City College of New York. University Transportation Research Center, 2017. https://rosap.ntl.bts.gov/view/dot/32824.
Dey, Kakan Chandra, et al. Risk Analysis of Autonomous Vehicles in Mixed Traffic Streams. City College of New York. University Transportation Research Center, 2017, ROSA P. https://rosap.ntl.bts.gov/view/dot/32824.
Residential Preference: the social, environmental, and physical preferences that affect a person or family’s choice of residential location (for this report's purposes, in relation to the urban core and other amenities offered as a part of living in density). The introduction of autonomous vehicles and the comprehensive integration of E-commerce in
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Bowers, Alison and Nico Larco. Urbanism Next: Residential Preference. University of Oregon, Urbanism Next Center, 2017. https://rosap.ntl.bts.gov/view/dot/60738.
Bowers, Alison, and Nico Larco Urbanism Next: Residential Preference. University of Oregon, Urbanism Next Center, 2017, ROSA P. https://rosap.ntl.bts.gov/view/dot/60738.
Today, warehouses are transforming into massive “mega-distribution centers” located in increasingly suburban areas. However, the rapid delivery expectations of E-commerce will also perpetuate the need for a network of local, smaller-scale supply points. This document explores possible outcomes and transition considerations for warehouses.
This report presents a high-level test and evaluation framework for cooperative driving automation systems that have the potential to significantly improve mobility and enhance traffic flow stability with better safety. It focuses on the test and evaluation of vehicle platooning that uses cooperative adaptive cruise control (CACC) and vehicle-to-ve
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Tiernan, T., Richardson, N., Azeredo, P., Najm, W. G., & Lochrane, T. (2017). Test and Evaluation of Vehicle Platooning Proof-of-Concept Based on Cooperative Adaptive Cruise Control (Report No. DOT-VNTSC-FHWA-17-13). John A. Volpe National Transportation Systems Center (U.S.). https://rosap.ntl.bts.gov/view/dot/1038
Tiernan, Tim, Nicholas Richardson, Philip Azeredo, Wassim G. Najm, and Taylor Lochrane. Test and Evaluation of Vehicle Platooning Proof-of-Concept Based on Cooperative Adaptive Cruise Control. Report no. DOT-VNTSC-FHWA-17-13. John A. Volpe National Transportation Systems Center (U.S.), 2017. https://rosap.ntl.bts.gov/view/dot/1038.
Tiernan, Tim, et al. Test and Evaluation of Vehicle Platooning Proof-of-Concept Based on Cooperative Adaptive Cruise Control. John A. Volpe National Transportation Systems Center (U.S.), 2017, Report no. DOT-VNTSC-FHWA-17-13, ROSA P. https://rosap.ntl.bts.gov/view/dot/1038.
This study is the fourth in a series of four experiments exploring human factors issues associated with the introduction of cooperative adaptive cruise control (CACC). Specifically, the goals of this experiment were as follows:Assess drivers’ workloads under two different CACC following gaps (near and far).Assess drivers’ reactions to a vehicle mer
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Balk, S. A., Jackson, S., & Philips, B. H. (2017). Cooperative Adaptive Cruise Control Human Factors Study : Experiment 4 : Preferred Following Distance and Performance in An Emergency Event (Report No. FHWA-HRT-17-024). United States. Federal Highway Administration. Office of Safety Research and Development. https://rosap.ntl.bts.gov/view/dot/37822
Balk, Stacy A., Steven Jackson, and Brian H. Philips. Cooperative Adaptive Cruise Control Human Factors Study : Experiment 4 : Preferred Following Distance and Performance in An Emergency Event. Report no. FHWA-HRT-17-024. United States. Federal Highway Administration. Office of Safety Research and Development, 2017. https://rosap.ntl.bts.gov/view/dot/37822.
Balk, Stacy A., et al. Cooperative Adaptive Cruise Control Human Factors Study : Experiment 4 : Preferred Following Distance and Performance in An Emergency Event. United States. Federal Highway Administration. Office of Safety Research and Development, 2017, Report no. FHWA-HRT-17-024, ROSA P. https://rosap.ntl.bts.gov/view/dot/37822.
The study develops two different eco-routing systems and uses them to investigate and quantify the system-wide impacts of implementing an eco-routing system. The first one is basically a Nash Equilibrium feedback system, which uses the Ant Colony optimization approach; Ant Colony based ECO-routing technique (ACO-ECO). The comparison shows that the
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Rakha, H. A., Elbery, A., & Wang, J. (2017). Developing and Field Implementing a Dynamic Eco-Routing System (Report No. N17-003). TranLIVE. University of Idaho. https://rosap.ntl.bts.gov/view/dot/34610
Rakha, Hesham A., Ahmed Elbery, and Jinghui Wang. Developing and Field Implementing a Dynamic Eco-Routing System. Report no. N17-003. TranLIVE. University of Idaho, 2017. https://rosap.ntl.bts.gov/view/dot/34610.
Rakha, Hesham A., et al. Developing and Field Implementing a Dynamic Eco-Routing System. TranLIVE. University of Idaho, 2017, Report no. N17-003, ROSA P. https://rosap.ntl.bts.gov/view/dot/34610.
Connecting vehicles with the surrounding infrastructure through Vehicle-to-Pedestrian (V2P) technology offers promise for addressing this challenge. For the past decade, the USDOT has been researching and testing a connected vehicle (CV) system where vehicles can sense the environment around them and communicate that information to other vehicles,
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Craig, J. L., Fraser, J. L., & Campos, J. (2017). USDOT Vehicle-to-Pedestrian Research: White Paper (Report No. FHWA-JPO-17-505). United States. Joint Program Office for Intelligent Transportation Systems. https://rosap.ntl.bts.gov/view/dot/32540
Craig, John L., Janet L. Fraser, and Jason Campos. USDOT Vehicle-to-Pedestrian Research: White Paper. Report no. FHWA-JPO-17-505. United States. Joint Program Office for Intelligent Transportation Systems, 2017. https://rosap.ntl.bts.gov/view/dot/32540.
Craig, John L., et al. USDOT Vehicle-to-Pedestrian Research: White Paper. United States. Joint Program Office for Intelligent Transportation Systems, 2017, Report no. FHWA-JPO-17-505, ROSA P. https://rosap.ntl.bts.gov/view/dot/32540.
Crashes involving transit vehicles, bicyclists, and pedestrians are a concern in Texas, especially in urban areas. This research explored the potential of automated and connected vehicle (AV/CV) technology to reduce or eliminate these crashes. The project objectives focused on identifying safety concerns related to the interaction of transit vehicl
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Supporting Files
Turnbull, K. F., Cherrington, L., Elgart, Z., Baker, T., Hudson, J., Wagner, J., & Zmud, J. (2017). Automated and Connected Vehicle (AV/CV) Test Bed to Improve Transit, Bicycle, and Pedestrian Safety (Report No. FHWA/TX-17/0-6875-1). Texas Department of Transportation. Research and Technology Implementation Office. https://rosap.ntl.bts.gov/view/dot/32380
Turnbull, Katherine F., Linda Cherrington, Zack Elgart, Trey Baker, Joan Hudson, Jason Wagner, and Johanna Zmud. Automated and Connected Vehicle (AV/CV) Test Bed to Improve Transit, Bicycle, and Pedestrian Safety. Report no. FHWA/TX-17/0-6875-1. Texas Department of Transportation. Research and Technology Implementation Office, 2017. https://rosap.ntl.bts.gov/view/dot/32380.
Turnbull, Katherine F., et al. Automated and Connected Vehicle (AV/CV) Test Bed to Improve Transit, Bicycle, and Pedestrian Safety. Texas Department of Transportation. Research and Technology Implementation Office, 2017, Report no. FHWA/TX-17/0-6875-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/32380.
This document presents the Concept of Operations (ConOps) Plan for the Automated and Connected Vehicle (AV/CV) Test Bed to Improve Transit, Bicycle, and Pedestrian Safety. As illustrated in Figure 1, the plan presents the overarching vision and goals for the test bed and the test bed locations and functions. It describes the goals, objectives, and
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Odell, W., & Turnbull, K. F. (2017). Automated and Connected Vehicle (AV/CV) Test Bed to Improve Transit, Bicycle, and Pedestrian Safety: Concept of Operations Plan (Report No. 0-6875-P1). Texas. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/32381
Odell, Wade and Katherine F. Turnbull. Automated and Connected Vehicle (AV/CV) Test Bed to Improve Transit, Bicycle, and Pedestrian Safety: Concept of Operations Plan. Report no. 0-6875-P1. Texas. Department of Transportation, 2017. https://rosap.ntl.bts.gov/view/dot/32381.
Odell, Wade, and Katherine F. Turnbull Automated and Connected Vehicle (AV/CV) Test Bed to Improve Transit, Bicycle, and Pedestrian Safety: Concept of Operations Plan. Texas. Department of Transportation, 2017, Report no. 0-6875-P1, ROSA P. https://rosap.ntl.bts.gov/view/dot/32381.
The goal of this white paper is to consider the impact of autonomous vehicles (AVs) on municipal budgets. AVs create a “potential rat’s nest of a budgeting challenge.” This paper seeks to begin the process of untangling that rat’s nest, and provide the foundation for future phases of the project that will consider potential additional revenue sourc
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Clark, B. Y., Larco, N., & Mann, R. F. (2017). The Impacts of Autonomous Vehicles and E-commerce on Local Government Budgeting and Finance. University of Oregon, Urbanism Next Center. https://rosap.ntl.bts.gov/view/dot/60743
Clark, Benjamin Y, Nico Larco, and Roberta F Mann. The Impacts of Autonomous Vehicles and E-commerce on Local Government Budgeting and Finance. University of Oregon, Urbanism Next Center, 2017. https://rosap.ntl.bts.gov/view/dot/60743.
Clark, Benjamin Y, et al. The Impacts of Autonomous Vehicles and E-commerce on Local Government Budgeting and Finance. University of Oregon, Urbanism Next Center, 2017, ROSA P. https://rosap.ntl.bts.gov/view/dot/60743.
The objective of this study is to review the status quo in the development of autonomous vehicles and determine what regulatory action needs to be taken that will permit their safe introduction in Louisiana while not stifling innovation and development.
Wilmot, C. G. (2016). Investigation into Legislative Action Needed to Accommodate the Future Safe Operation of Autonomous Vehicles in the State of Louisiana [Tech Summary] (Report No. LTRC Report 571). Louisiana Transportation Research Center. https://rosap.ntl.bts.gov/view/dot/31502
Wilmot, Chester G.. Investigation into Legislative Action Needed to Accommodate the Future Safe Operation of Autonomous Vehicles in the State of Louisiana [Tech Summary]. Report no. LTRC Report 571. Louisiana Transportation Research Center, 2016. https://rosap.ntl.bts.gov/view/dot/31502.
Wilmot, Chester G. Investigation into Legislative Action Needed to Accommodate the Future Safe Operation of Autonomous Vehicles in the State of Louisiana [Tech Summary]. Louisiana Transportation Research Center, 2016, Report no. LTRC Report 571, ROSA P. https://rosap.ntl.bts.gov/view/dot/31502.
This report addresses the matter of autonomous vehicles and the regulation of their operation in the state of Louisiana. It was prepared in response to a request from the Louisiana State Legislature to study the subject of autonomous vehicles and provide recommendations on legislative and regulatory action to best accommodate this emerging technolo
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Wilmot, C. G., & Greensword, M. (2016). Investigation into Legislative Action Needed to Accommodate the Future Safe Operation of Autonomous Vehicles in the State of Louisiana (Report No. FHWA/LA.16/571). Louisiana Transportation Research Center. https://rosap.ntl.bts.gov/view/dot/31501
Wilmot, Chester G. and Marlon Greensword. Investigation into Legislative Action Needed to Accommodate the Future Safe Operation of Autonomous Vehicles in the State of Louisiana. Report no. FHWA/LA.16/571. Louisiana Transportation Research Center, 2016. https://rosap.ntl.bts.gov/view/dot/31501.
Wilmot, Chester G., and Marlon Greensword Investigation into Legislative Action Needed to Accommodate the Future Safe Operation of Autonomous Vehicles in the State of Louisiana. Louisiana Transportation Research Center, 2016, Report no. FHWA/LA.16/571, ROSA P. https://rosap.ntl.bts.gov/view/dot/31501.
Besides driver compensation, the largest operating expense for a line-haul truck is the cost of fuel. At 65 mph, each truck expends about 65 percent of its fuel consumption to overcome the effects of aerodynamic drag. Many of the large and small fleet operators are currently using a variety of different techniques and technologies to achieve a 1 or
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Kuhn, Beverly and Mo Poorsartep. Commercial Truck Platooning – Level 2 Automation: Project Summary. Report no. 0-6836. Texas A&M Transportation Institute, 2016. https://rosap.ntl.bts.gov/view/dot/32371.
Kuhn, Beverly, and Mo Poorsartep Commercial Truck Platooning – Level 2 Automation: Project Summary. Texas A&M Transportation Institute, 2016, Report no. 0-6836, ROSA P. https://rosap.ntl.bts.gov/view/dot/32371.
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