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

doi:10.1007/978-3-030-80063-5_6

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

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus citations

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 language	English
Title of host publication	Lecture Notes in Mobility
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	60-72
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-030-80063-5_6
State	Published - 2022

Publication series

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

Bibliographical note

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

Keywords

Artificial intelligence
Automated vehicles
Control
Traffic flow modeling
Traffic operations

Access to Document

10.1007/978-3-030-80063-5_6

Cite this

Abbink, D. A., Hao, P., Laval, J., Shalev-Shwartz, S., Wu, C., Yang, T., Hamdar, S., Chen, D., Xie, Y., Li, X., & Haque, M. (2022). Artificial Intelligence for Automated Vehicle Control and Traffic Operations: Challenges and Opportunities. In Lecture Notes in Mobility (pp. 60-72). (Lecture Notes in Mobility). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-80063-5_6

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Abbink, DA, Hao, P, Laval, J, Shalev-Shwartz, S, Wu, C, Yang, T, Hamdar, S, Chen, D, Xie, Y, Li, X & Haque, M 2022, Artificial Intelligence for Automated Vehicle Control and Traffic Operations: Challenges and Opportunities. in Lecture Notes in Mobility. Lecture Notes in Mobility, Springer Science and Business Media Deutschland GmbH, pp. 60-72. https://doi.org/10.1007/978-3-030-80063-5_6

Artificial Intelligence for Automated Vehicle Control and Traffic Operations: Challenges and Opportunities. / Abbink, David A.; Hao, Peng; Laval, Jorge et al.
Lecture Notes in Mobility. Springer Science and Business Media Deutschland GmbH, 2022. p. 60-72 (Lecture Notes in Mobility).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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

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