Artificial Intelligence for Automated Vehicle Control and Traffic Operations: Challenges and Opportunities

David A. Abbink, Peng Hao, Jorge Laval, Shai Shalev-Shwartz, Cathy Wu, Terry Yang, Samer Hamdar*, Danjue Chen, Yuanchang Xie, Xiaopeng Li, Mohaiminul Haque

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations


This chapter summarizes the presentations of speakers addressing such issues during the Automated Vehicles Symposium 2020 (AVS20) held virtually on July 27–30, 2020. These speakers participated in the break-out session titled “Artificial Intelligence for Automated Vehicle Control and Traffic Operations: Challenges and Opportunities”. The corresponding discussion and recommendations are presented in terms of the lessons learned and the future research directions to be adopted to benefit from AI in order to develop safer and more efficient connected and automated vehicles (CAV). This session was organized by the Transportation Research Board (TRB) Committee on Traffic Flow Theory and Characteristics (ACP50) and the TRB Committee on Artificial Intelligence and Advanced Computing Applications (AED50).

Original languageAmerican English
Title of host publicationLecture Notes in Mobility
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages13
StatePublished - 2022

Publication series

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

Bibliographical note

Funding Information:
The authors would like to acknowledge the remaining breakout session organizers: Alireza Talebpour (University of Illinois at Urbana Champaign), Mecit Cetin (Profes-sor, Old Dominion University), Mehdi Hashemipour (Data Scientist, US Department of Trans-portation), Mo Zhao (Research Scientist, Virginia Transportation Research Council), Mohamed H. Zaki (Assistant Professor, University of Central Florida), Pan Lu (Associate Professor, North Dakota State University), Simeon Calvert (Delft University of Technology), Steven Mattingly (Professor, University of Texas at Arlington), and Xiaoyu (Sky) Guo (PhD Student, Texas A&M University – College Station). Additional thanks go to the TRB Committee Section/Committee chairs for their leadership and sponsorship of the session: Robert Bertini (Oregon State University), Soyoung Ahn (University of Wisconsin, Madison), and Sherif Ishak (Old Dominion University). This book was made possible with extensive outreach and synthesis efforts while coordinating the event details with the AVS2020 organizing committee.

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • Artificial intelligence
  • Automated vehicles
  • Control
  • Traffic flow modeling
  • Traffic operations


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