摘要
提出将人工智能和信息物理融合系统(CPS)的理论与方法集成融入智能交通系统及其应用,探索“人工智能+交通”的交叉创新领域,在交通物理与信息空间映射、网络通信与时空数据规约、交通安全与可信可控关联等关键问题上形成相关的解决方案和技术体系,推进实现交通信息物理融合系统及其应用的精准治理。
This paper proposes to integrate the theories and methods of artificial intelligence and cyber-physical fusion systems into intelligent transportation systems and their applications,and explore the cross-innovative fields of“artificial intelligence+transportation”,in terms of transportation physics and information space mapping,network communication and spatiotemporal data protocols.It forms relevant solutions and technical systems on key issues such as traffic safety and credible and controllable associations to promote the precise management of traffic information and physical integration systems and their applications.
作者
张雷
沈国琛
秦晓洁
成诚
欧冬秀
李兴华
施莉娟
ZHANG Lei;SHEN Guochen;QIN Xiaojie;CHENG Cheng;OU Dongxiu;LI Xinhua;SHI Lijuan(Shanghai Research Institute for Intelligent Autonomous Systems,Tongji University,Shanghai 201210,China;College of Transportation Engineering,Tongji University,Shanghai 201804,China;China Transportation Institute,Tongji University,Shanghai 200092,China;Zhejiang Scientific Research Institute of Transport,Hangzhou 310023,Zhejiang,China)
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2022年第1期79-86,共8页
Journal of Tongji University:Natural Science
基金
浙江省重点研发计划(2021C01011)
上海市科技创新行动计划(20511106400)。
关键词
人工智能
信息物理交通系统
智能网联交通
数据精化
artificial intelligence
cyber-physical fusion system-transportation
intelligent network transportation
data refinement
