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

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

Abstract

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
Pages60-72
Number of pages13
DOIs
StatePublished - 2022

Publication series

NameLecture Notes in Mobility

Keywords

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

All Science Journal Classification (ASJC) codes

  • Energy (miscellaneous)
  • Control and Systems Engineering
  • Transportation
  • Automotive Engineering

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