交通运输系统工程与信息

交通运输系统工程与信息 ›› 2017, Vol. 17 ›› Issue (2): 1-6.

• 决策论坛 •    下一篇

交通发展研究与特大城市交通综合治理——“交通7+1论坛”第四十六次会议纪实

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:2017-03-27 修回日期:2017-04-10 出版日期:2017-04-25 发布日期:2017-04-25
  • 作者简介:彭宏勤(1963- )，男，湖北武汉人，副教授.

Traffic Development and Synthesizing Management of Megalopolis Transportation

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:2017-03-27 Revised:2017-04-10 Online:2017-04-25 Published:2017-04-25

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摘要：

交通拥堵、机动车乱停乱放、交通污染排放是城市交通研究中的热点和难点问题.基于大数据的城市交通运行状态分析系统为拥堵点筛查、拥堵原因分析、交通拥堵预报、交通拥堵治理及政策效果分析提供有力支持.制定完善的停车法律才能实现停车问题的根本解决.严格停车执法、规范停车管理、提高停车设施利用效率，实现停车违法行为综合治理.基于OBD能耗计量器具和交通大数据平台，深入分析机动车污染排放形成机理，研究掌握能耗排放感知、能源计量数据质量控制、能耗排放建模等核心技术，建立交通节能减排检测统计平台，提高交通能耗排放数据核算精度，为政府部门提供决策支持.

关键词: 城市交通, 需求管理, 大数据, 停车管理, 节能减排

Abstract:

It is a hot and difficult problem in urban traffic research that traffic congestion, parking disorder and traffic emission pollution. Urban traffic running state analysis system based on big data provides powerful support for screening of congestion point, analyzing of causes for congestion, forecasting and management of traffic congestion, and analyzing of policy effect. The perfect parking law cansolve the parking problem, such as strict enforcement of parking law, standard parking management, improving the efficiency of parking facilities, comprehensive management of parking violations. On the base of OBD energy measuring instruments and traffic big data platform, it deeply analyzes the formation mechanism of vehicle emission pollution, researches core technology such as energy- aware, quality control of energy measurement data, modeling energy consumption, etc., establishes statistical platform for traffic energysaving and emission- reduction, and proves the accuracy of traffic energy consumption data. Those can provide decision support for government departments.

Key words: urban traffic, demand management, big data, parking management, energy- saving and emission-reduction

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