DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond
Chen Zhao, Yisheng Lv, Junchen Jin, Yonglin Tian, Jiangong Wang, Fei–Yue Wang
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 next-generation parallel intelligent transportation systems.