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Title: Driver Behavior in Intelligent Transportation Systems [Guest Editorial]
Authors: Li, Guofa
Olaverri-Monreal, Cristina
Qu, Xiaobo
Wu, Sean Changxu
Li, Eben Shengbo
Taghavifar, Hamid
Xing, Yang
Li, Shen
Keywords: Engineering::Mechanical engineering
Issue Date: 2022
Source: Li, G., Olaverri-Monreal, C., Qu, X., Wu, S. C., Li, E. S., Taghavifar, H., Xing, Y. & Li, S. (2022). Driver Behavior in Intelligent Transportation Systems [Guest Editorial]. IEEE Intelligent Transportation Systems Magazine, 14(3), 7-9.
Journal: IEEE Intelligent Transportation Systems Magazine
Abstract: Drivers are the center of road/air/sea transportation systems, and they can be either human beings or artificial beings. Inconsistency between human driver behavior and artificial driver behavior will lead to accidents and congestion in intelligent transportation systems. To make future ITSs trustworthy for traffic safety and acceptable for travel efficiency, developing industrial ITS applications based on drivers’ reliable behavioral and cognitive intelligence is essential. However, there are many challenges to be addressed, including real-time behavior prediction, reliable decision making, safe interaction among human and artificial drivers, and so on.
ISSN: 1939-1390
DOI: 10.1109/MITS.2021.3081937
Rights: © 2022 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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