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首页> 外文期刊>Journal of ambient intelligence and humanized computing >Capacity optimization and allocation of an urban rail transit network based on multi-source data
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Capacity optimization and allocation of an urban rail transit network based on multi-source data

机译：基于多源数据的城市轨道交通网容量优化与分配

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摘要

This study establishes a multi-objective optimization model for the capacity allocation of an urban rail transit network based on multi-source data on the Beijing metro passenger flow. The model considers the operating costs of trains and the expenses related to the waiting time of transferring passengers. The model constraints include the distribution characteristics of passenger flow, headway, load factor, and available trains. The capacity allocation scheme for 16 railway lines was obtained by adopting a model of the Beijing rail transit network and its passenger flow. We also analyzed the frequency at which Line 4 is reduced from 55 to 45 and the frequency at which Line 10 is reduced from 60 to 52 if a short turn is adopted. In addition, when the upper limit of the load factor increased from 60 to 70%, the operational costs were reduced by 4.6%, while the total passenger waiting time increased by 1%. The transfer costs changed the capacity optimization and allocation scheme, and the proportion of the transfer cost among the total costs increased when the time value increased.
机译：本研究基于北京地铁客流的多源数据，建立了城市轨道交通网络容量分配的多目标优化模型。该模型考虑了火车的运营成本以及与中转乘客的等待时间相关的费用。模型约束包括客流，车头距，负载系数和可用火车的分布特征。通过采用北京轨道交通网络及其客流模型，获得了16条铁路线的容量分配方案。如果采用短匝，我们还分析了4号线从55降到45的频率，以及10号线从60降到52的频率。此外，当载客率的上限从60％增加到70％时，运营成本降低了4.6％，而总乘客等待时间则增加了1％。转移成本改变了容量优化和分配方案，并且随着时间值的增加，转移成本在总成本中所占的比例也增加了。

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    Wang Bo; Huang Jianling; Xu Jie;

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    State Key Lab Rail Traff Control & Safety, 3 Shang Yuan Village, Beijing 100044, Peoples R China;

    Beijing Transportat Informat Ctr, ShouFa Bldg, Beijing 100161, Peoples R China;

    Beijing Jiaotong Univ, 3 Shang Yuan Village, Beijing 100044, Peoples R China;

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