Road Network Capacity Reliability Considering the Layout Concept of Dense-Network with Small-Scale Road
编号:256 访问权限:仅限参会人 更新:2021-12-03 10:17:22 浏览:130次 张贴报告

报告开始:2021年12月17日 10:09(Asia/Shanghai)

报告时间:1min

所在会场:[P1] Poster2020 [P1T1] Track 1 Advanced Transportation Information and Control Engineering

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摘要
In order to investigate the interaction between the layout concept of dense-network with small-scale road and the road network capacity, a road network capacity model based on classical idea of time-space is set up for the evaluation of capacity reliability in this paper. In the model, the characteristics indicators of the road network capacity model is defined which considering the road network structure, road network density, road width, traffic organization and intersection. Two angles which include the mechanism of road network layout and the process of individual path selection are summarized to analyze the impact of dense-network with small-scale road network layout on road network capacity, respectively. The key indicators which impacted on road network capacity are filtered by the causal chain of system dynamics. A calculation model which describe the relationship between the time-space resource of road network and individual time-space consumption is discussed. The calculation model, which considering the service level, traffic organization, cross-sectional form, supply and demand matching level, is amended by adjusting the key indicators. Numerical study on the 1 km * 1.2 km road network is presented to demonstrate the validity of the proposed model and algorithm. At the same time, the road network capacity under the wide-sparse road network layout is fully examined.
关键词
CICTP
报告人
Xiaonan Zhang
China Urban Construction Design & Research Institute Co.Ltd

稿件作者
Xiaonan Zhang China Urban Construction Design & Research Institute Co.Ltd
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重要日期
  • 会议日期

    12月17日

    2021

    12月20日

    2021

  • 12月16日 2021

    报告提交截止日期

  • 12月24日 2021

    注册截止日期

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Chinese Overseas Transportation Association
Chang'an University
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