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Strategic Study of CAE >> 2021, Volume 23, Issue 3 doi: 10.15302/J-SSCAE-2021.03.020

Virtual Urban Transportation System and Decision Support Mode for Transportation Development

1. School of Transportation, Southeast University, Nanjing 210096, China;

2. Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 210096, China;

3. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 210096, China

Funding project:中国工程院咨询项目“中国‘站城融合’发展战略研究” (2020-XZ-14);中国工程院咨询项目“‘新基建’思维改造传统公路交 通基础设施战略研究” (2021-XZ-04) Received: 2020-08-20 Revised: 2020-11-11 Available online: 2021-06-01

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Developing a localized virtual urban transportation system (VUTS) and a decision support mode for transportation development is significant for solving the increasingly severe urban traffic problems caused by rapid urbanization and for overcoming the current bottlenecks that restrain the intelligent transportation system development. Based on the advanced information technologies such as big data and Internet technologies, this study establishes a VUTS that is composed of four parts: basic databases, analysis models, software platforms, and alternative plans; the theoretic framework, systematic functions, and technical system of the VUTS are analyzed. Furthermore, a decision support mode for transportation development is proposed; it covers the application scenarios including urban land development, traffic facilities construction, traffic operation control, public transport operation, and traffic policy making. Subsequently, we built the VUTS of Chongqing and provided plans for the municipal government regarding its decision on shifting peaks for residents and vehicles during the outbreak of the COVID-19 epidemic. The case results suggest that the decision support mode based on VUTS is effective in the demonstration of traffic plans. Therefore, we suggest that China attach importance to the VUIS and its application in urban traffic planning and management and incorporate new information technologies to optimize the application effects.


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[ 1 ] 王炜, 陈峻, 过秀成. 交通工程学 [M]. 南京: 东南大学出版社, 2019. Wang W, Chen J, Guo X C. Traffic engineering [M]. Nanjing: Southeast University Press, 2019.

[ 2 ] 杨涛, 张泉. 公交优先导向下的城市总体规划——构建公交都 市的空间框架 [J]. 城市规划, 2011, 35(2): 22–25. Yang T, Zhang Q. Transit oriented urban master plan: Towards the spatial framework of transit city [J]. City Planning Review, 2011, 35(2): 22–25. link1

[ 3 ] 王炜, 薛美根, 王媛, 等. 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 [J]. 城市交通, 2020, 18(1): 102–113. Wang W, Xue M G, Wang Y, et al. Development of transportation planning and management support system: Highlight of the 24th Urban Transportation Development Forum in China [J]. Urban Transport of China, 2020, 18(1): 102–113. link1

[ 4 ] 张军, 王云鹏, 鲁光泉, 等. 中国综合交通工程科技2035发展战 略研究 [J]. 中国工程科学, 2017, 19(1): 43–49. Zhang J, Wang Y P, Lu G Q, et al. Development strategy for China’s integrated transportation engineering science and technology to 2035 [J]. Strategic Study of CAE, 2017, 19(1): 43–49. link1

[ 5 ] 高柯夫, 孙宏彬, 王楠, 等. “互联网+”智能交通发展战略研究 [J]. 中国工程科学, 2020, 22(4): 101–105. Gao K F, Sun H B, Wang N, et al. Development strategy of Internet Plus intelligent transportation [J]. Strategic Study of CAE, 2020, 22(4): 101–105. link1

[ 6 ] TransCAD. TransCAD transportation planning software [EB/OL]. (2016-01-01)[2020-07-15]. link1

[ 7 ] INRO. Emme multimodal transport planning software [EB/OL]. (2016-01-01)[2020-07-15]. products/emme/. link1

[ 8 ] PTV Group. PTV vissim [EB/OL]. (2016-01-01) [2020-07-15]. link1

[ 9 ] Bentley. Transportation and land-use modeling [EB/OL]. (2016- 01-01)[2020-07-15]. link1

[10] 《中国公路学报》编辑部. 中国交通工程学术研究综述·2016 [J]. 中国公路学报, 2016, 29(6): 1–161. Editorial Department of China Journal of Highway and Transport. Review on China’s traffic engineering research progress·2016 [J]. China Journal of Highway and Transport, 2016, 29(6): 1–161. link1

[11] 陆化普, 孙智源, 屈闻聪. 大数据及其在城市智能交通系统中的 应用综述 [J]. 交通运输系统工程与信息, 2015, 15(5): 45–52. Lu H P, Sun Z Y, Qu W C. Big data and its applications in urban intelligent transportation system [J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(5): 45–52. link1

[12] 李德仁, 姚远, 邵振峰. 智慧城市中的大数据 [J]. 武汉大学学报 (信息科学版), 2014, 39(6): 631–640. Li D R, Yao Y, Shao Z F. Big data in smart city [J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 631–640. link1

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