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清华大学学报(自然科学版)  2022, Vol. 62 Issue (3): 509-515    DOI: 10.16511/j.cnki.qhdxxb.2021.26.023
  专题:智能交通 本期目录 | 过刊浏览 | 高级检索 |
智能交通管理系统发展趋势
李瑞敏1, 王长君2
1. 清华大学 土木工程系, 北京 100084;
2. 公安部道路交通安全研究中心, 北京 100062
Development of advanced traffic management systems
LI Ruimin1, WANG Changjun2
1. Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
2. Road Traffic Safety Research Center of the Ministry of Public Security, Beijing 100062, China
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摘要 数十年智能交通管理系统的发展依然存在效能不足的问题。该文聚焦城市交通系统的社会技术属性和特征,对智能交通管理系统的发展方向进行了探索,提出了智能交通管理系统发展的三大趋势:在技术基础上应以信息物理社会系统为基础,在建设目标上要实现能力的本质提升,在管理机制上要实现数据支撑的综合驱动。在分析信息域、物理域、社会域三者之间关系的基础上,提出了基于信息物理社会系统的智能交通管理系统体系框架,阐述了三大趋势的具体内涵及未来发展的建议,以期对我国智能交通管理系统的发展提供借鉴。
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李瑞敏
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关键词 智能交通管理系统社会技术系统信息物理社会系统人工智能    
Abstract:Advanced traffic management systems (ATMS) still need significant development. This study analyzed the socio-technical characteristics of urban transportation systems to predict future development directions for advanced traffic management systems. Future ATMS will be based on cyber-physical-social systems (CPSS) and have improved capabilities using big data in integrated systems. An ATMS framework was developed based on the relationships between the cyber domain, physical domain, and social domain. This study describes key implications of the three trends with suggestions for future developments of modern ATMS.
Key wordsadvanced traffic management systems    social-technical systems    cyber-physical-social systems    artificial intelligence
收稿日期: 2021-01-31      出版日期: 2022-03-10
引用本文:   
李瑞敏, 王长君. 智能交通管理系统发展趋势[J]. 清华大学学报(自然科学版), 2022, 62(3): 509-515.
LI Ruimin, WANG Changjun. Development of advanced traffic management systems. Journal of Tsinghua University(Science and Technology), 2022, 62(3): 509-515.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2021.26.023  或          http://jst.tsinghuajournals.com/CN/Y2022/V62/I3/509
  
  
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