Journal of Transportation Systems Engineering and Information Technology ›› 2018, Vol. 18 ›› Issue (5): 1-4.

• Decision-making Forum •     Next Articles

Development and Innovation of Urban Traffic Technology in the Future

PENG Hong-qin1, ZHANG Guo-wu1, 2   

  1. 1. Integrated Transport Research Center of China, Beijing Jiaotong University, Beijing 100044, China; 2. Transportation System Engineering Committee of Systems Engineering Society of China, Beijing 100044, China
  • Received:2018-09-30 Revised:2018-10-10 Online:2018-10-25 Published:2018-10-26

未来城市交通技术发展与创新 ——“交通7+1论坛”第五十二次会议

彭宏勤*1,张国伍 1, 2   

  1. 1. 北京交通大学 中国综合交通研究中心, 北京 100044;2. 中国交通运输系统工程专业委员会, 北京 100044
  • 作者简介:彭宏勤(1963-),男,湖北武汉人,副教授.

Abstract:

With the development of mobile internet, big data and artificial intelligence, newly arisen modes of transportation means, service mode and management methods have emerged in urban traffic system, such as “sharing traffic”,“travel service by demand response”,“unmanned driving”,“urban traffic brain”, etc. The future transportation system will face the opportunities in innovative development, and will bring great challenges to the traditional transportation industry. The 52nd conference of “Traffic and Transportation 7+1 Forum” sets its theme as “Development and Innovation of Urban Traffic Technology in the Future”. It analyzes the prospect of booking transportation system, and discusses the core technologies of super traffic simulation system. The development, challenge and simulation technology of unmanned driving are analyzed. The function and application points of big data and artificial intelligent technology in urban intelligence development are explained.

Key words: intelligent transportation, big data, artificial intelligence, unmanned driving, traffic simulation, urban traffic

摘要:

随着移动互联网、大数据和人工智能等技术发展,城市交通系统中涌现出“共享交通”“需求响应式出行服务”“无人驾驶”“城市交通大脑”等新兴的交通工具、服务模式和管理手段,未来交通系统将面临创新发展的机遇,并对传统交通行业带来巨大挑战.本次论坛以“未来城市交通技术发展与创新”为主题,分析了预约交通系统的发展前景,探讨了超级交通仿真系统的相关核心技术,分析了无人驾驶的发展、挑战及仿真技术,说明了大数据和人工智能技术在城市智慧发展中的作用与运用要点.

关键词: 智能交通, 大数据, 人工智能, 无人驾驶, 交通仿真, 城市交通

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