CASIA OpenIR  > 多模态人工智能系统全国重点实验室
DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond
Zhao, Chen1,2; Lv, Yisheng1,2; Jin, Junchen3,4; Tian, Yonglin2; Wang, Jiangong2; Wang, Fei-Yue2,5
Source PublicationIEEE Intelligent Transportation Systems Magazine
2022-09
Volume14Issue:6Pages:6-17
Abstract

Parallel transportation management and control was proposed three decades ago as a new paradigm for conducting complex transportation operations and has led to today’s DeCAST in TransVerse platform designed and constructed according to the principle of decentralized/distributed autonomous operations and organizations. This article presents an overview of its architectures, processes, operating procedures, and major applications. The developments and applications have demonstrated clearly that parallel transportation systems are effective for networked traffic control and distributed logistical operations. The existing challenges and emerging opportunities are also addressed. A transportation foundation model based on parallel learning and federated intelligence is proposed as a potential path to the nextgeneration parallel intelligent transportation systems.

Sub direction classification平行管理与控制
planning direction of the national heavy laboratory多智能体决策
Paper associated data
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/56517
Collection多模态人工智能系统全国重点实验室
Affiliation1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
2.State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
3.Intelligent Transportation Business Group, Zhejiang Supcon Information Company Ltd., Hangzhou 310052, China,
4.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China.
5.Macao Institute of Systems Engineering, Macau University of Science and Technology, Macao 999078, China.
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhao, Chen,Lv, Yisheng,Jin, Junchen,et al. DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond[J]. IEEE Intelligent Transportation Systems Magazine,2022,14(6):6-17.
APA Zhao, Chen,Lv, Yisheng,Jin, Junchen,Tian, Yonglin,Wang, Jiangong,&Wang, Fei-Yue.(2022).DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond.IEEE Intelligent Transportation Systems Magazine,14(6),6-17.
MLA Zhao, Chen,et al."DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond".IEEE Intelligent Transportation Systems Magazine 14.6(2022):6-17.
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