Traffic Flow of Connected and Automated Vehicles: Challenges and Opportunities

Simeon Calvert; Hani Mahmassani; Jan Niklas Meier; Pravin Varaiya; Samer Hamdar; Danjue Chen; Xiaopeng Li; Alireza Talebpour; Stephen P. Mattingly

doi:10.1007/978-3-319-60934-8_19

Traffic Flow of Connected and Automated Vehicles: Challenges and Opportunities

Simeon Calvert, Hani Mahmassani, Jan Niklas Meier, Pravin Varaiya, Samer Hamdar^*, Danjue Chen, Xiaopeng Li, Alireza Talebpour, Stephen P. Mattingly

^*Corresponding author for this work

Civil and Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

21 Scopus citations

Abstract

Significant progress has been observed in recent years in the development of connected and automated vehicles (CAVs). Such progress has been publicized through the latest products/applications being released or announced by the industry. However, there is a limited knowledge on the impact of CAV technologies on surface transportation network performance. In particular, the technological specifications associated with CAVs and the response of drivers to such technologies are not well integrated into traffic flow models. These models are needed to assess and evaluate the safety and mobility impact on our roadway conditions. Accordingly, a more elaborate discussion is needed between three entities: (1) the industry partners leading the efforts in developing CAVs; (2) the academic traffic flow modeling community researching the impact of CAVs on traffic flow performance; and (3) the public/government agencies devising the standards and the rules to regulate the deployment of CAVs on our roadway network. This chapter summarizes the presentations of speakers from these three entities during the Automated Vehicles Symposium 2016 (AVS16) held in San Francisco, California on July 19–21, 2016. These speakers participated in the break-out session titled “Traffic Flow of Connected and Automated Vehicles”. The corresponding discussion and recommendation are presented in terms of the lessons learned and the future research direction to be adopted. This session was organized by the AHB45(3) Subcommittee on Traffic Flow Modeling for Connected and Automated Vehicles.

Original language	English (US)
Title of host publication	Road Vehicle Automation 4
Editors	Gereon Meyer, Sven Beiker
Publisher	Springer International Publishing
Pages	235-245
Number of pages	11
ISBN (Print)	978-3319609331
DOIs	https://doi.org/10.1007/978-3-319-60934-8_19
State	Published - 2018

Publication series

Name	Lecture Notes in Mobility
ISSN (Print)	2196-5544
ISSN (Electronic)	2196-5552

Funding

The authors would like to acknowledge the breakout session organizers (the AHB45(3) committee members along with Robert Bertini from University of South Florida and Soyoung Ahn from University of Wisconsin, Madison) who made this book chapter possible. Special thanks to Haizhong Wang from Oregon State University and Mark Brackstone from TSS-AIMSUM for their outreach efforts while coordinating the event details with the AVS2016 organizing committee.

Keywords

CACC
CAV
Deployment
Research needs
Traffic flow modeling
Urban networks

ASJC Scopus subject areas

Energy (miscellaneous)
Control and Systems Engineering
Transportation
Automotive Engineering

Access to Document

10.1007/978-3-319-60934-8_19

Cite this

Calvert, S., Mahmassani, H., Meier, J. N., Varaiya, P., Hamdar, S., Chen, D., Li, X., Talebpour, A., & Mattingly, S. P. (2018). Traffic Flow of Connected and Automated Vehicles: Challenges and Opportunities. In G. Meyer, & S. Beiker (Eds.), Road Vehicle Automation 4 (pp. 235-245). (Lecture Notes in Mobility). Springer International Publishing. https://doi.org/10.1007/978-3-319-60934-8_19

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abstract = "Significant progress has been observed in recent years in the development of connected and automated vehicles (CAVs). Such progress has been publicized through the latest products/applications being released or announced by the industry. However, there is a limited knowledge on the impact of CAV technologies on surface transportation network performance. In particular, the technological specifications associated with CAVs and the response of drivers to such technologies are not well integrated into traffic flow models. These models are needed to assess and evaluate the safety and mobility impact on our roadway conditions. Accordingly, a more elaborate discussion is needed between three entities: (1) the industry partners leading the efforts in developing CAVs; (2) the academic traffic flow modeling community researching the impact of CAVs on traffic flow performance; and (3) the public/government agencies devising the standards and the rules to regulate the deployment of CAVs on our roadway network. This chapter summarizes the presentations of speakers from these three entities during the Automated Vehicles Symposium 2016 (AVS16) held in San Francisco, California on July 19–21, 2016. These speakers participated in the break-out session titled “Traffic Flow of Connected and Automated Vehicles”. The corresponding discussion and recommendation are presented in terms of the lessons learned and the future research direction to be adopted. This session was organized by the AHB45(3) Subcommittee on Traffic Flow Modeling for Connected and Automated Vehicles.",

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note = "Funding Information: The authors would like to acknowledge the breakout session organizers (the AHB45(3) committee members along with Robert Bertini from University of South Florida and Soyoung Ahn from University of Wisconsin, Madison) who made this book chapter possible. Special thanks to Haizhong Wang from Oregon State University and Mark Brackstone from TSS-AIMSUM for their outreach efforts while coordinating the event details with the AVS2016 organizing committee. Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.",

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AU - Chen, Danjue

AU - Li, Xiaopeng

AU - Talebpour, Alireza

AU - Mattingly, Stephen P.

N1 - Funding Information: The authors would like to acknowledge the breakout session organizers (the AHB45(3) committee members along with Robert Bertini from University of South Florida and Soyoung Ahn from University of Wisconsin, Madison) who made this book chapter possible. Special thanks to Haizhong Wang from Oregon State University and Mark Brackstone from TSS-AIMSUM for their outreach efforts while coordinating the event details with the AVS2016 organizing committee. Publisher Copyright: © 2018, Springer International Publishing AG.

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AB - Significant progress has been observed in recent years in the development of connected and automated vehicles (CAVs). Such progress has been publicized through the latest products/applications being released or announced by the industry. However, there is a limited knowledge on the impact of CAV technologies on surface transportation network performance. In particular, the technological specifications associated with CAVs and the response of drivers to such technologies are not well integrated into traffic flow models. These models are needed to assess and evaluate the safety and mobility impact on our roadway conditions. Accordingly, a more elaborate discussion is needed between three entities: (1) the industry partners leading the efforts in developing CAVs; (2) the academic traffic flow modeling community researching the impact of CAVs on traffic flow performance; and (3) the public/government agencies devising the standards and the rules to regulate the deployment of CAVs on our roadway network. This chapter summarizes the presentations of speakers from these three entities during the Automated Vehicles Symposium 2016 (AVS16) held in San Francisco, California on July 19–21, 2016. These speakers participated in the break-out session titled “Traffic Flow of Connected and Automated Vehicles”. The corresponding discussion and recommendation are presented in terms of the lessons learned and the future research direction to be adopted. This session was organized by the AHB45(3) Subcommittee on Traffic Flow Modeling for Connected and Automated Vehicles.

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Traffic Flow of Connected and Automated Vehicles: Challenges and Opportunities

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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