Research on passenger flow and energy consumption in a subway system with fuzzy passenger arrival rates
Research on passenger flow and energy consumption in a subway system with fuzzy passenger arrival rates
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DOI：
10.1177/0954409714524378
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发表时间：
2015-11
期刊：
影响因子：
--
通讯作者：
Xiaoming Xu;Keping Li;Xiang Li
中科院分区：
文献类型：
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作者：
Xiaoming Xu;Keping Li;Xiang Li
为了缓解地铁系统的交通压力，现实中增加列车班次、提高列车通过能力和开行特快列车是三种可行的组织策略。本文采用1小时内单向累计拥挤度、满载率、客流量和能耗等4个评价指标对这3种策略进行了比较。此外，为了确定最优策略，本文采用了理想点折衷方法。具体而言，为调查在上述战略的客流量和能源消耗，我们提供了在地铁系统中的客流变化模型与模糊乘客到达率和下车率。通过北京亦庄地铁线的运营数据，我们进行了广泛的案例研究，以说明不同的策略的性能。
To relieve the traffic pressure in a subway system, in reality, increasing train frequency, improving train capacity and applying express trains, are three practical organization strategies. In this paper, we compare these three strategies by using four evaluation indexes, including accumulated congestion degree, loading ratio, passenger volume and energy consumption in one direction during one hour. Moreover, in order to determine the optimal strategy, an ideal-point compromise approach is employed in this paper. Specifically, for investigating the passenger flow and energy consumption in aforementioned strategies, we provide variation models for passenger flow in a subway system with fuzzy passenger arrival rates and alighting ratios. By using the operational data from Beijing Yizhuang subway line, we conduct extensive case studies to illustrate the performance of different strategies.