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 recent years, connected vehicles (CVs) and automated vehicles (AVs) have emerged as a realistic and viable transportation option. Research centers and companies have dedicated substantial efforts to the technology, motivated largely by the potential safety benefits that can be realized through the elimination of human error, the enhancement of m
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Rakha, H. A., Bichiou, Y., Hassan, A., & Zohdy, I. H. (2016). Intersection Management Using In-Vehicle Speed Advisory/Adaptation: Final Report. Connected Vehicle/Infrastructure University Transportation Center. https://rosap.ntl.bts.gov/view/dot/31197
Rakha, Hesham A., Youssef Bichiou, Abdallah Hassan, and Ismail H. Zohdy. Intersection Management Using In-Vehicle Speed Advisory/Adaptation: Final Report. Connected Vehicle/Infrastructure University Transportation Center, 2016. https://rosap.ntl.bts.gov/view/dot/31197.
Rakha, Hesham A., et al. Intersection Management Using In-Vehicle Speed Advisory/Adaptation: Final Report. Connected Vehicle/Infrastructure University Transportation Center, 2016, ROSA P. https://rosap.ntl.bts.gov/view/dot/31197.
The transit industry has always shown a great interest in the adoption of transformational safety technologies to improve the safety of its passengers and drivers, as well as all road users including pedestrians. Due to its unique characteristics and behaviors, such as vehicle size and frequent stops/starts, transit often deals with safety challeng
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Craig, J. L., Lowman, A., Schneeberger, J., Burnier, C., & Lesh, M. (2016). Transit Vehicle Collision Characteristics for Connected Vehicle Applications Research: 2009–2014 Analysis of Collisions Involving Transit Vehicles and Applicability of Connected Vehicle Solutions: Final Report (Report No. FHWA-JPO-16-368). United States. Joint Program Office for Intelligent Transportation Systems. https://rosap.ntl.bts.gov/view/dot/32527
Craig, John L., Alexa Lowman, J.D. Schneeberger, Carolina Burnier, and Matthew Lesh. Transit Vehicle Collision Characteristics for Connected Vehicle Applications Research: 2009–2014 Analysis of Collisions Involving Transit Vehicles and Applicability of Connected Vehicle Solutions: Final Report. Report no. FHWA-JPO-16-368. United States. Joint Program Office for Intelligent Transportation Systems, 2016. https://rosap.ntl.bts.gov/view/dot/32527.
Craig, John L., et al. Transit Vehicle Collision Characteristics for Connected Vehicle Applications Research: 2009–2014 Analysis of Collisions Involving Transit Vehicles and Applicability of Connected Vehicle Solutions: Final Report. United States. Joint Program Office for Intelligent Transportation Systems, 2016, Report no. FHWA-JPO-16-368, ROSA P. https://rosap.ntl.bts.gov/view/dot/32527.
The adoption of connected vehicle (CV) technology is anticipated at various levels of development and deployment over the next decade. One primary challenge with these new technologies is the lack of platform to enable a robust and reliable evaluation of their benefits given the complexity of interactions among wireless communications, algorithms,
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Songchitruksa, P., Bibeka, A., Lin, L. (., & Zhang, Y. (2016). Incorporating Driver Behaviors Into Connected and Automated Vehicle Simulation (Report No. ATLAS-2016-13). Center for Advancing Transportation Leadership and Safety (ATLAS Center). https://rosap.ntl.bts.gov/view/dot/30917
Songchitruksa, Praprut, Apoorba Bibeka, Lu (Irene) Lin, and Yunlong Zhang. Incorporating Driver Behaviors Into Connected and Automated Vehicle Simulation. Report no. ATLAS-2016-13. Center for Advancing Transportation Leadership and Safety (ATLAS Center), 2016. https://rosap.ntl.bts.gov/view/dot/30917.
Songchitruksa, Praprut, et al. Incorporating Driver Behaviors Into Connected and Automated Vehicle Simulation. Center for Advancing Transportation Leadership and Safety (ATLAS Center), 2016, Report no. ATLAS-2016-13, ROSA P. https://rosap.ntl.bts.gov/view/dot/30917.
For autonomous vehicles, navigation systems must be accurate enough to provide lane-level localization. High-accuracy sensors are available but not cost-effective for production use. Although prone to significant error in poor circumstances, even low-cost GPS systems are able to correct Inertial Navigation Systems (INS) to limit the effects of dead
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Werries, A., & Dolan, J. (2016). Adaptive Kalman Filtering Methods for Low-Cost GPS/INS Localization for Autonomous Vehicles (Report No. CMU-RI-TR-16-18). Carnegie-Mellon University. https://doi.org/10.1184/R1/6551687
Werries, Adam and John Dolan. Adaptive Kalman Filtering Methods for Low-Cost GPS/INS Localization for Autonomous Vehicles. Report no. CMU-RI-TR-16-18. Carnegie-Mellon University, 2016. https://doi.org/10.1184/R1/6551687.
Werries, Adam, and John Dolan Adaptive Kalman Filtering Methods for Low-Cost GPS/INS Localization for Autonomous Vehicles. Carnegie-Mellon University, 2016, Report no. CMU-RI-TR-16-18, ROSA P. https://doi.org/10.1184/R1/6551687.
This research focused on the development of an Eco-Cooperative Adaptive Cruise Control (EcoCACC) System and addressed the implementation issues associated with applying it in the field. The Eco-CACC system computes and recommends a fuel-efficient speed based on Signal Phasing and Timing (SPaT) data received from the traffic signal controller via ve
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Rakha, H. A., Chen, H., Almannaa, M., Kamalanathsharma, R. K., El-Shawarby, I., & Loulizi, A. (2016). Field Testing of Eco-Speed Control Using V2I Communication (Report No. DUNS: 0031370150000;EIN: 54-6001805). Connected Vehicle/Infrastructure University Transportation Center. https://rosap.ntl.bts.gov/view/dot/31162
Rakha, Hesham A., Hao Chen, Mohammed Almannaa, Raj Kishore Kamalanathsharma, Ihab El-Shawarby, and Amara Loulizi. Field Testing of Eco-Speed Control Using V2I Communication. Report no. DUNS: 0031370150000;EIN: 54-6001805. Connected Vehicle/Infrastructure University Transportation Center, 2016. https://rosap.ntl.bts.gov/view/dot/31162.
Rakha, Hesham A., et al. Field Testing of Eco-Speed Control Using V2I Communication. Connected Vehicle/Infrastructure University Transportation Center, 2016, Report no. DUNS: 0031370150000;EIN: 54-6001805, ROSA P. https://rosap.ntl.bts.gov/view/dot/31162.
A number of advanced driver assistance systems are increasingly being implemented into the automobile, and many are now standard in cars that are newly manufactured. These in-vehicle technologies are designed to make driving safer and easier for those who operate the vehicle, as well as making the road safer for other users. In addition to these ex
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Lee, C. (2016). Effectiveness of Various Information Channels on User Training and Learning in Automobiles (Report No. MITR25-10). New England University Transportation Center. https://rosap.ntl.bts.gov/view/dot/43880
Lee, Chaiwoo. Effectiveness of Various Information Channels on User Training and Learning in Automobiles. Report no. MITR25-10. New England University Transportation Center, 2016. https://rosap.ntl.bts.gov/view/dot/43880.
Lee, Chaiwoo Effectiveness of Various Information Channels on User Training and Learning in Automobiles. New England University Transportation Center, 2016, Report no. MITR25-10, ROSA P. https://rosap.ntl.bts.gov/view/dot/43880.
Briefing for California State Government Agencies on the role of pavement in reducing greenhouse gas emissions, and strategies to improve sustainability of asphalt pavement materials and construction.
Harvey, J. (2016). The Role of Pavement in Reducing Greenhouse Gas Emissions [Presentation]. National Center for Sustainable Transportation (NCST) (UTC). https://rosap.ntl.bts.gov/view/dot/67253
Harvey, John. The Role of Pavement in Reducing Greenhouse Gas Emissions [Presentation]. National Center for Sustainable Transportation (NCST) (UTC), 2016. https://rosap.ntl.bts.gov/view/dot/67253.
Harvey, John The Role of Pavement in Reducing Greenhouse Gas Emissions [Presentation]. National Center for Sustainable Transportation (NCST) (UTC), 2016, ROSA P. https://rosap.ntl.bts.gov/view/dot/67253.
Index coding, a coding formulation traditionally analyzed in the theoretical computer science andinformation theory communities, has received considerable attention in recent years due to its value inwireless communications and networking problems. In particular, there is a now well understoodcorrespondence between interference alignment and index
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Kim, M., Chen, Y., Borokhovich, M., & Vishwanath, S. (2016). Project: Semi-Autonomous Parking for Enhanced Safety and Efficiency (Report No. D-STOP/2016/105). University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP). https://rosap.ntl.bts.gov/view/dot/31776
Kim, Muryong, Yitao Chen, Michael Borokhovich, and Sriram Vishwanath. Project: Semi-Autonomous Parking for Enhanced Safety and Efficiency. Report no. D-STOP/2016/105. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2016. https://rosap.ntl.bts.gov/view/dot/31776.
Kim, Muryong, et al. Project: Semi-Autonomous Parking for Enhanced Safety and Efficiency. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2016, Report no. D-STOP/2016/105, ROSA P. https://rosap.ntl.bts.gov/view/dot/31776.
The goals of this project were to undergo a systematic review of automated vehicle technologies with a focus on policy implications, methods of implementation, regulation by states, and developments occurring on legal fronts, ultimately creating a set of policy recommendations and questions for further research. This report provides recommendations
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McGehee, D. V., Brewer, M., Schwarz, C., & Smith, B. W. (2016). Review of Automated Vehicle Technology: Policy and Implementation Implications (Report No. MATC-MU:276). Iowa. Dept. of Transportation. https://rosap.ntl.bts.gov/view/dot/30702
McGehee, Daniel V., Mark Brewer, Chris Schwarz, and Bryant Walker Smith. Review of Automated Vehicle Technology: Policy and Implementation Implications. Report no. MATC-MU:276. Iowa. Dept. of Transportation, 2016. https://rosap.ntl.bts.gov/view/dot/30702.
McGehee, Daniel V., et al. Review of Automated Vehicle Technology: Policy and Implementation Implications. Iowa. Dept. of Transportation, 2016, Report no. MATC-MU:276, ROSA P. https://rosap.ntl.bts.gov/view/dot/30702.
The purpose of this work is to identify instances where the existing Federal Motor Vehicle Safety Standards may pose challenges to the introduction of automated vehicles. It identifies standards requiring further review - both to ensure that existing regulations do not unduly stifle innovation and to help ensure that automated vehicles perform thei
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Kim, A., Bogard, D., Perlman, D., & Harrington, R. (2016). Review of Federal Motor Vehicle Safety Standards (FMVSS) for Automated Vehicles : Identifying Potential Barriers and Challenges for the Certification of Automated Vehicles Using Existing FMVSS (Report No. DOT-VNTSC-OSTR-16-03). John A. Volpe National Transportation Systems Center (U.S.). https://rosap.ntl.bts.gov/view/dot/12260
Kim, Anita, Dan Bogard, David Perlman, and Ryan Harrington. Review of Federal Motor Vehicle Safety Standards (FMVSS) for Automated Vehicles : Identifying Potential Barriers and Challenges for the Certification of Automated Vehicles Using Existing FMVSS. Report no. DOT-VNTSC-OSTR-16-03. John A. Volpe National Transportation Systems Center (U.S.), 2016. https://rosap.ntl.bts.gov/view/dot/12260.
Kim, Anita, et al. Review of Federal Motor Vehicle Safety Standards (FMVSS) for Automated Vehicles : Identifying Potential Barriers and Challenges for the Certification of Automated Vehicles Using Existing FMVSS. John A. Volpe National Transportation Systems Center (U.S.), 2016, Report no. DOT-VNTSC-OSTR-16-03, ROSA P. https://rosap.ntl.bts.gov/view/dot/12260.
Intelligent Transportation Systems (ITS) have generated considerable enthusiasm in the transportation community due to their potential for improving roadway safety, reducing traffic congestion, and enhancing the mobility of people and goods. In addition to these benefits, ITS can play a major role in reducing criteria pollutant and greenhouse gas (
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Barth, M., Wu, G., & Boriboonsomsin, K. (2016). Intelligent Transportation Systems for Improving Traffic Energy Efficiency and Reducing GHG from Roadways [Policy Brief]. National Center for Sustainable Transportation (NCST) (UTC). https://rosap.ntl.bts.gov/view/dot/67263
Barth, Mathew, Guoyuan Wu, and Kanok Boriboonsomsin. Intelligent Transportation Systems for Improving Traffic Energy Efficiency and Reducing GHG from Roadways [Policy Brief]. National Center for Sustainable Transportation (NCST) (UTC), 2016. https://rosap.ntl.bts.gov/view/dot/67263.
Barth, Mathew, et al. Intelligent Transportation Systems for Improving Traffic Energy Efficiency and Reducing GHG from Roadways [Policy Brief]. National Center for Sustainable Transportation (NCST) (UTC), 2016, ROSA P. https://rosap.ntl.bts.gov/view/dot/67263.
Identification of published literature between 1995 and 2013, focusing on determining the quantity and quality of visual information needed under both driving modes (i.e., human and autonomous) to navigate the road safely, especially as it pertains to two-lane, curved, rural roads at night.
United States. Federal Highway Administration (2016). Visual Requirements for Human Drivers and Autonomous Vehicles (Report No. FHWA-HRT-16-038). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/35706
United States. Federal Highway Administration. Visual Requirements for Human Drivers and Autonomous Vehicles. Report no. FHWA-HRT-16-038. United States. Federal Highway Administration, 2016. https://rosap.ntl.bts.gov/view/dot/35706.
United States. Federal Highway Administration Visual Requirements for Human Drivers and Autonomous Vehicles. United States. Federal Highway Administration, 2016, Report no. FHWA-HRT-16-038, ROSA P. https://rosap.ntl.bts.gov/view/dot/35706.
The main objective of this project was to provide technology for answering crucial safety and correctness questions about verification of autonomous vehicle and advanced driver assistance systems based on logic. In synergistic activities, we have significantly improved tooling for cyber physical systems (CPS) verification, including the development
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Fulton, N., Ji, R., & Platzer, A. (2016). Proving Autonomous Vehicle and Advanced Driver Assistance Systems Safety: Final Research Report. Technologies for Safe and Efficient Transportation. University Transportation Center. https://rosap.ntl.bts.gov/view/dot/31300
Fulton, Nathan, Ran Ji, and Andre Platzer. Proving Autonomous Vehicle and Advanced Driver Assistance Systems Safety: Final Research Report. Technologies for Safe and Efficient Transportation. University Transportation Center, 2016. https://rosap.ntl.bts.gov/view/dot/31300.
Fulton, Nathan, et al. Proving Autonomous Vehicle and Advanced Driver Assistance Systems Safety: Final Research Report. Technologies for Safe and Efficient Transportation. University Transportation Center, 2016, ROSA P. https://rosap.ntl.bts.gov/view/dot/31300.
Professional development and training are essential to the incorporation of connected/automated vehicles (C/AV) into thetransportation planning process. In order to guarantee a successful deployment, transportation planning agencies and theirstakeholders must understand these technologies well enough to support both planning and operations function
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Jensen, M., Tudela, A., Row, S., Krechmer, D., & Flanigan, E. (2016). Connected Vehicle Impacts on Transportation Planning Technical Memorandum #6: Skills and Expertise Required to Incorporate Connected Vehicles into Transportation Planning (Report No. FHWA-JPO-16-364). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/30761
Jensen, Mark, Aldo Tudela, Shelley Row, Daniel Krechmer, and Erin Flanigan. Connected Vehicle Impacts on Transportation Planning Technical Memorandum #6: Skills and Expertise Required to Incorporate Connected Vehicles into Transportation Planning. Report no. FHWA-JPO-16-364. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2016. https://rosap.ntl.bts.gov/view/dot/30761.
Jensen, Mark, et al. Connected Vehicle Impacts on Transportation Planning Technical Memorandum #6: Skills and Expertise Required to Incorporate Connected Vehicles into Transportation Planning. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2016, Report no. FHWA-JPO-16-364, ROSA P. https://rosap.ntl.bts.gov/view/dot/30761.
United States. Federal Highway Administration. Exploratory Advanced Research Program
2016-02-01
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Using a combination of sensors and vehicle-to-vehicle communication, cooperative adaptive cruise control (CACC) takes cruise control to the next level, enabling vehicles to adjust their speed to the preceding vehicle in their lane. The CACC system can also respond more quickly to speed changes by the preceding vehicle and other vehicles farther ahe
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United States. Federal Highway Administration. Exploratory Advanced Research Program (2016). Cooperative Adaptive Cruise Control: Taking Cruise Control to the Next Level (Report No. FHWA-HRT-16-044). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/39739
United States. Federal Highway Administration. Exploratory Advanced Research Program. Cooperative Adaptive Cruise Control: Taking Cruise Control to the Next Level. Report no. FHWA-HRT-16-044. United States. Federal Highway Administration, 2016. https://rosap.ntl.bts.gov/view/dot/39739.
United States. Federal Highway Administration. Exploratory Advanced Research Program Cooperative Adaptive Cruise Control: Taking Cruise Control to the Next Level. United States. Federal Highway Administration, 2016, Report no. FHWA-HRT-16-044, ROSA P. https://rosap.ntl.bts.gov/view/dot/39739.
This report summarizes an evaluation of a vehicle assist and automation (VAA) system used by Lane Transit District in Eugene, Oregon, for its Emerald Express (EmX) Bus Rapid Transit (BRT). The 1.5-mile demonstration involved the use of magnetic sensors for precision docking at three stations and lane guidance between the stations. The VAA system wa
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Gregg, R., & Pessaro, B. (2016). Vehicle Assist and Automation (VAA) Demonstration Evaluation Report (Report No. FTA Report No. 0093). United States. Federal Transit Administration. Office of Research, Demonstration, and Innovation. https://doi.org/10.21949/1503485
Gregg, Rob and Brian Pessaro. Vehicle Assist and Automation (VAA) Demonstration Evaluation Report. Report no. FTA Report No. 0093. United States. Federal Transit Administration. Office of Research, Demonstration, and Innovation, 2016. https://doi.org/10.21949/1503485.
Gregg, Rob, and Brian Pessaro Vehicle Assist and Automation (VAA) Demonstration Evaluation Report. United States. Federal Transit Administration. Office of Research, Demonstration, and Innovation, 2016, Report no. FTA Report No. 0093, ROSA P. https://doi.org/10.21949/1503485.
This policy paper focuses on the primary concept of the street as space that can be repurposed – real estate that can be allocated in similar or different ways than done currently. Cities generally refer to this publicly owned and regulated space from one side of the street to the other as the right of way (ROW). The focus is on the centrality of t
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Schlossberg, M., Riggs, W., Millard-Ball, A., & Shay, E. (2016). Rethinking the Street in an Era of Driverless Cars. University of Oregon, Urbanism Next Center. https://rosap.ntl.bts.gov/view/dot/60741
Schlossberg, Marc, William Riggs, Adam Millard-Ball, and Elizabeth Shay. Rethinking the Street in an Era of Driverless Cars. University of Oregon, Urbanism Next Center, 2016. https://rosap.ntl.bts.gov/view/dot/60741.
Schlossberg, Marc, et al. Rethinking the Street in an Era of Driverless Cars. University of Oregon, Urbanism Next Center, 2016, ROSA P. https://rosap.ntl.bts.gov/view/dot/60741.
Transportation infrastructure is quickly moving towards revolutionary changes to accommodate the deployment of AVs. On the other hand, the transition to new vehicle technologies will be shaped in large part by changes in performance of roadway infrastructure. This research aims at understanding the relationship between AV technology and infrastruct
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Qian, S., & Yang, S. (2016). What Do Autonomous Vehicles Mean to Traffic Congestion and Crash? Network Traffic Flow Modeling and Simulation for Autonomous Vehicles. University Transportation Centers Program (U.S.). https://rosap.ntl.bts.gov/view/dot/31310
Qian, Sean and Shuguan Yang. What Do Autonomous Vehicles Mean to Traffic Congestion and Crash? Network Traffic Flow Modeling and Simulation for Autonomous Vehicles. University Transportation Centers Program (U.S.), 2016. https://rosap.ntl.bts.gov/view/dot/31310.
Qian, Sean, and Shuguan Yang What Do Autonomous Vehicles Mean to Traffic Congestion and Crash? Network Traffic Flow Modeling and Simulation for Autonomous Vehicles. University Transportation Centers Program (U.S.), 2016, ROSA P. https://rosap.ntl.bts.gov/view/dot/31310.
This report presents the methodology and results of the independent evaluation of safety applications for passenger vehicles in the 2012-2013 Safety Pilot Model Deployment, part of the United States Department of Transportation’s Intelligent Transportation Systems research program. In 2012, the pilot model deployed approximately 2,800 vehicles equi
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Nodine, E., Stevens, S., Lam, A., Jackson, C., & Najm, W. G. (2015). Independent Evaluation of Light-Vehicle Safety Applications Based on Vehicle-to-Vehicle Communications Used in the 2012–2013 Safety Pilot Model Deployment (Report No. DOT HS 812 222). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/12394
Nodine, Emily, Scott Stevens, Andy Lam, Chris Jackson, and Wassim G. Najm. Independent Evaluation of Light-Vehicle Safety Applications Based on Vehicle-to-Vehicle Communications Used in the 2012–2013 Safety Pilot Model Deployment. Report no. DOT HS 812 222. United States. Department of Transportation. National Highway Traffic Safety Administration, 2015. https://rosap.ntl.bts.gov/view/dot/12394.
Nodine, Emily, et al. Independent Evaluation of Light-Vehicle Safety Applications Based on Vehicle-to-Vehicle Communications Used in the 2012–2013 Safety Pilot Model Deployment. United States. Department of Transportation. National Highway Traffic Safety Administration, 2015, Report no. DOT HS 812 222, ROSA P. https://rosap.ntl.bts.gov/view/dot/12394.
The principal objective of this project, “Connected Vehicle Impacts on Transportation Planning,” is to comprehensively assess how connected vehicles should be considered across the range of transportation planning processes and products developed by States, Metropolitan Planning Organizations (MPO), and local agencies throughout the country. This r
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Krechmer, D., Cheung, M. G., Hyde, J., Osborne, J., Jensen, M., & Flanigan, E. (2015). Connected Vehicle Impacts on Transportation Planning: Technical Memorandum #5: Case Studies (Report No. FHWA-JPO-16-281). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/31430
Krechmer, Daniel, May Gin Cheung, Jason Hyde, James Osborne, Mark Jensen, and Erin Flanigan. Connected Vehicle Impacts on Transportation Planning: Technical Memorandum #5: Case Studies. Report no. FHWA-JPO-16-281. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2015. https://rosap.ntl.bts.gov/view/dot/31430.
Krechmer, Daniel, et al. Connected Vehicle Impacts on Transportation Planning: Technical Memorandum #5: Case Studies. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2015, Report no. FHWA-JPO-16-281, ROSA P. https://rosap.ntl.bts.gov/view/dot/31430.
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