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 language||American English|
|Title of host publication||Lecture Notes in Mobility|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||13|
|State||Published - 2022|
|Name||Lecture Notes in Mobility|
Bibliographical noteFunding 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.
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Artificial intelligence
- Automated vehicles
- Traffic flow modeling
- Traffic operations