Driver Behavior in Intelligent Transportation Systems [Guest Editorial]

Guofa Li; Cristina Olaverri-Monreal; Xiaobo Qu; Changxu Sean Wu; Shengbo Eben Li; Hamid Taghavifar; Yang Xing; Shen Li

doi:10.1109/MITS.2021.3081937

Driver Behavior in Intelligent Transportation Systems [Guest Editorial]

Guofa Li, Cristina Olaverri-Monreal, Xiaobo Qu, Changxu Sean Wu, Shengbo Eben Li, Hamid Taghavifar, Yang Xing, Shen Li

Centre for Future Transport and Cities

Research output: Contribution to journal › Editorial › peer-review

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 (ITSs) [1], [2]. 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 [3]. 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.

Original language	English
Pages (from-to)	7-9
Number of pages	3
Journal	IEEE Intelligent Transportation Systems Magazine
Volume	14
Issue number	3
DOIs	https://doi.org/10.1109/MITS.2021.3081937
Publication status	Published - 13 May 2022

ASJC Scopus subject areas

Automotive Engineering
Mechanical Engineering
Computer Science Applications

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AU - Taghavifar, Hamid

AU - Xing, Yang

AU - Li, Shen

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AB - 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 (ITSs) [1], [2]. 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 [3]. 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.

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Driver Behavior in Intelligent Transportation Systems [Guest Editorial]

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