交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (1): 2-5.

• 决策论坛 •    下一篇

未来城市交通及其对未来城市发展影响

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
  • 收稿日期:2019-12-31 修回日期:2020-01-10 出版日期:2020-02-25 发布日期:2020-03-02
  • 作者简介:彭宏勤(1963-),男,湖北武汉人,副教授.

Future Urban Traffic and its Influence on Cities Development

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:2019-12-31 Revised:2020-01-10 Online:2020-02-25 Published:2020-03-02

摘要:

物联网、大数据、人工智能快速推进交通的智能化发展. 新技术、新理念快速改变着人民的出行行为、交通模式和交通形态. 交通技术的发展对交通方式、效率、安全性及供需关系产生着重要影响. 本次论坛以“未来城市交通及其对未来城市发展影响”为主题,介绍了未来交通科技及发展,说明了大数据和云计算等对提高交通规划与管理水平与搭建城市交通智能治理平台的巨大支持作用,探讨了未来运输服务高品质需求的内涵,提出了提升运输服务品质的主要方向,介绍了基于社会学与人因工程学道路安全研究方法及其进展.

关键词: 城市交通, 运输服务, 交通技术, 大数据, 交通安全

Abstract:

Internet of things, big data and artificial intelligence accelerate the intelligent development of transportation. New technology and new concept are rapidly changing travel behavior, traffic pattern and traffic shape. The development of transportation technology has an important impact on the mode, efficiency and safety of traffic, and relationship between supply and demand. The 56th conference of“Traffic and Transportation 7+1 Forum”sets its theme as“Future Urban Traffic and its Influence on Cities Development”. It introduces the future technology and development of transportation, shows that big data and cloud computing can improve the level of traffic planning and management, and support the construction of intelligent governance platform. It discusses the connotation of high-quality demand for future transportation service, and main direction of improving transportation service quality. It also introduces the methods and progress of road safety based on sociology and human factorsengineering.

Key words: urban traffic, transportation service, transportation technology, big data, traffic safety

中图分类号: