Driver Behavior in Intelligent Transportation Systems [Guest Editorial]

• Main Authors: Li, Guofa, Olaverri-Monreal, Cristina, Qu, Xiaobo, Wu, Sean Changxu, Li, Eben Shengbo, Taghavifar, Hamid, Xing, Yang, Li, Shen
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Mechanical engineering; Driver Behavior; Transportation Systems
• Online Access: https://hdl.handle.net/10356/163109
• Institution: Nanyang Technological University

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.