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《城市交通》杂志
2020年 第1期
交通规划与管理决策支持系统的研发应用 ——中国城市交通发展论坛第24 次研讨会
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文章编号: 1672-5328(2020)01-0102-12

王炜1,薛美根2,王媛2,陈艳艳3,宋家骅4,孙小丽5,董志国6,程晓明7,汪光焘8
(1. 东南大学,南京211189;2. 上海市城乡建设和交通发展研究院,上海200040; 3. 北京工业大学城市交通学 院,交通运输部公交智能化行业重点实验室,北京100124;4. 深圳市城市交通规划设计研究中心有限公司,广 东深圳518057;5. 武汉市交通发展战略研究院,湖北武汉430017;6. 北京晶众智慧交通科技股份有限公司, 北京110105;7. 南京市城市与交通规划设计研究院股份有限公司,江苏南京210008;8. 同济大学,上海201804)

摘要: 为探讨在中国大数据应用与“互联网+交通”发展大背景下如何推动交通规划与管理的科学 决策,中国城市交通发展论坛于2019 年11 月3 日在南京举办2019 年第4 次(总第24 次)研讨会。本次 会议由东南大学交通学院承办,会议主题为“交通规划与管理决策支持系统的研发及应用”。因篇 幅有限,本刊编选部分专家发言,以飨读者。

关键词: 交通规划;交通管理;大数据;交通仿真;决策分析与支持

中图分类号: U491.1+2

文献标识码:A

Development of Transportation Planning and Management Support System: Highlight of the 24th Urban Transportation Development Forum in China

Wang Wei1, Xue Meigen2, Wang Yuan2, Chen Yanyan3, Song Jiahua4, Sun Xiaoli5, Dong Zhiguo6, Cheng Xiaoming7,Wang Guangtao8
(1.Southeast University, Nanjing Jiangsu, 211189, China; 2.Shanghai Urban Rural Construction and Transportation Development Research Institute, Shanghai 200040, China; 3.Key Lab of MOT Intelligent Public Transportation, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China; 4.Shenzhen Urban Transport Planning Center Co., Ltd., Shenzhen Guangdong 518057, China; 5. Wuhan Transportation Development Strategy Institute, Wuhan Hubei 430017, China; 6.Beijing Traffic Data Science & Technology Co., Ltd., Beijing 110105, China; 7.Nanjing Institute of City & Transport Planning Co., Ltd., Nanjing Jiangsu 210008, China; 8.Tongji University, Shanghai 201804, China)

Abstract: Aimed to promote effective police-making with big data for transportation planning and management under the growth in“internet of things + transportation”, the 24th Urban Transportation Development Forum in China took place in Nanjing on Nov. 3, 2019. Organized by the School of Transportation, Nanjing University, the themes of the forum is on the Development of Transportation Planning and Management Support System. Due to the limited space, only selected expert speeches are published in this edition.

Keywords: transportation planning; traffic management; big data; transportation simulation; policy-making support