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Identifying Station-Link Correlation for Target Passenger Flow Control in Subway Network

机译:识别地铁网络中目标客流控制的站点链接关联

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Subway systems of most metropolitan cities worldwide are suffering from the problem of overloaded passenger flow especially during rush-hour of weekday. To address it, passenger flow control strategy is widely adopted by developing subway system in order to improve the operational efficiency and ensure passengers' safety. However, current strategy is usually formulated by the subjective experience of operation staff at each station. Their inability to grasp the correlation between station flow and link flow in the entire subway network can possibly cause reverse effect and passengers' dissatisfaction. In this paper, a new coordinated-based passenger flow control method, using the internal relation of stations and links, is proposed to handle this issue during rush-hour of regular weekday with the aim of minimizing the negative impact on irrelevant travelers. Using this approach, one can determine the target control stations with specific control strength in different period of rush-hour. An experiment is conducted on a realworld subway network in Guangzhou to examine the validity of the method. Result shows that our strategy is more advanced and effective compared to the actual one.
机译:全世界大多数都会城市的地铁系统都存在乘客流量过大的问题,尤其是在工作日的高峰时段。为了解决这个问题,开发地铁系统广泛采用了客流控制策略,以提高运营效率并确保乘客的安全。但是,当前的策略通常是由每个站点的操作人员的主观经验来制定的。他们无法掌握整个地铁网络中车站流量和链接流量之间的相关性,可能会导致反向影响和乘客的不满。本文提出了一种新的基于协调的客流控制方法,该方法利用站点和链接的内部关系,在正常工作日的高峰时段处理此问题,以最大程度地减少对无关旅客的负面影响。使用这种方法,可以在不同的高峰时段确定具有特定控制强度的目标控制站。在广州的现实世界地铁网络上进行了实验,以检验该方法的有效性。结果表明,与实际相比,我们的策略更加先进有效。

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