Urban Traffic Control Meets Decision Recommendation System: A Survey and Perspective

Urban traffic control is a multifaceted and demanding task that necessitates extensive decision-making to ensure the safety and efficiency of urban transportation systems. Traditional approaches require traffic signal professionals to manually intervene on traffic control devices at the intersection...

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Bibliographic Details
Published in:IEEE/CAA journal of automatica sinica 2024-10, Vol.11 (10), p.2043-2058
Main Authors: Ji, Qingyuan, Wen, Xiaoyue, Jin, Junchen, Zhu, Yongdong, Lv, Yisheng
Format: Article
Language:English
Subjects:
Adaptation models
Computational modeling
Control equipment
Control systems
Decision making
Literature reviews
Recommendation system
Recommender systems
Scalability
Surveys
Traffic control
traffic perception
traffic prediction
Traffic signals
Traffic surveys
Transfer learning
Transportation
Transportation systems
Urban transportation
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Summary:Urban traffic control is a multifaceted and demanding task that necessitates extensive decision-making to ensure the safety and efficiency of urban transportation systems. Traditional approaches require traffic signal professionals to manually intervene on traffic control devices at the intersection level, utilizing their knowledge and expertise. However, this process is cumbersome, labor-intensive, and cannot be applied on a large network scale. Recent studies have begun to explore the applicability of recommendation system for urban traffic control, which offer increased control efficiency and scalability. Such a decision recommendation system is complex, with various interdependent components, but a systematic literature review has not yet been conducted. In this work, we present an up-to-date survey that elucidates all the detailed components of a recommendation system for urban traffic control, demonstrates the utility and efficacy of such a system in the real world using data and knowledge-driven approaches, and discusses the current challenges and potential future directions of this field.
ISSN:2329-9266
2329-9274
DOI:10.1109/JAS.2024.124659