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  • 标题:The Feasibility of Opening Communities -- Based on the Wiedemann Car-Following Model
  • 作者:Xiao-Yan Cao ; Bing-Qian Liu ; Bao-Ru Pan
  • 期刊名称:Computer and Information Science
  • 印刷版ISSN:1913-8989
  • 电子版ISSN:1913-8997
  • 出版年度:2018
  • 卷号:11
  • 期号:3
  • 页码:57
  • DOI:10.5539/cis.v11n3p57
  • 出版社:Canadian Center of Science and Education
  • 摘要:

    With the accelerating development of urbanization in China, the increasing traffic demand and large scale gated communities have aggravated urban traffic congestion. This paper studies the impact of communities opening on road network structure and the surrounding road capacity. Firstly, we select four indicators, namely average speed, vehicle flow, average delay time, and queue length, to measure traffic capacity. Secondly, we establish the Wiedemann car-following model, then use VISSIM software to simulate the traffic conditions of surrounding roads of communities. Finally, we take Shenzhen as an example to simulate and compare the four kinds of gated communities, axis, centripetal and intensive layout, and we also analyze the feasibility of opening communities.

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