Modeling and Solving Real-Time Train Rescheduling Problems in Railway Bottleneck Sections

Modeling and Solving Real-Time Train Rescheduling Problems in Railway Bottleneck Sections
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铁路瓶颈路段实时列车调度问题的建模与解决

DOI:
10.1109/tits.2014.2379617
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发表时间:
2015-01
影响因子:
8.5
通讯作者:
Stewart, Edward
Stewart, Edward
中科院分区:
工程技术1区
文献类型:
--
作者:
Chen, Lei;Roberts, Clive;Schmid, Felix;Stewart, Edward

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干线铁路的瓶颈路段通常存在高密度的交通,其中一列火车的扰动可能导致多列火车的长时间延误。如果发生干扰,则有必要重新安排接近瓶颈的列车,以增加该路段的吞吐量。针对瓶颈区段列车实时调度问题,提出了一种混合整数规划模型。提出了一种新的改进算法DE_JRM。最后,采用蒙特卡罗方法对模型和算法进行了验证,结果表明,该算法能够有效地降低加权平均延误,满足实时交通控制应用的要求。
There usually exists a high density of traffic through bottleneck sections of mainline railways, where a perturbation of one single train could result in long consequential delays across a number of trains. In the event of disturbances, rescheduling trains approaching the bottleneck will be necessary to increase the throughput of the section. To model the real-time train rescheduling problems around bottleneck sections, a mixed-integer programming model is presented in this paper. An innovative improved algorithm (DE_JRM) is developed to solve the problem. The model and the algorithms are validated with a case study using Monte Carlo methodology, which demonstrates that the proposed algorithm can reduce the weighted average delay and satisfy the requirements of real-time traffic control applications.
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