Real-time high-speed train rescheduling in case of a complete blockage
Real-time high-speed train rescheduling in case of a complete blockage
复制标题
高铁完全堵塞情况下实时重新调度
DOI：
10.1016/j.trb.2015.04.001
复制
发表时间：
2015-08
影响因子：
6.8
通讯作者：
Wagenaar, Joris C.
中科院分区：
文献类型：
--
作者：
Zhan, Shuguang;Kroon, Leo G.;Veelenturf, Lucas P.;Wagenaar, Joris C.
本文主要研究在高速铁路线路上，当铁路基础设施完全堵塞时，铁路交通的实时重新调度问题。由于中断，一段铁路的所有轨道在一段时间内都出现故障。在我们考虑的情况下，被中断阻塞的列车不会通过接管相反方向的列车服务返回其原点，而是在车站内等待，直到中断结束。因此，需要做出的主要决定如下：火车必须在哪些车站等待，当中断结束时，它们必须以何种顺序离开，哪些火车必须取消？建立了一个以加权列车总延误和取消列车数最小为目标函数的混合规划模型，同时考虑了列车间隔和车站能力约束。大多数情况下，可以解决在一个单一的优化运行，但对于最复杂的情况下，我们提出了一个两阶段的优化方法，以提高计算效率。以京沪高速铁路为例，对模型进行了验证。结果表明，该模型是有前途的减少中断对乘客服务的影响，特别是在与启发式方法在实践中使用。
This paper focuses on real-time rescheduling of railway traffic on a high speed railway line in case of a complete blockage of the railway infrastructure. Due to the disruption, all tracks in a railway segment are out of order for a certain period of time. In the situation that we consider, trains that are blocked by the disruption do not return to their origin by taking over train services in the opposite direction, but wait inside the stations until the disruption is over. Thus the main decisions to be taken are the following: in which stations do trains have to wait, in which order do they have to leave when the disruption is over, and which trains have to be canceled? A Mixed Integer Programming model is formulated to minimize the total weighted train delay and the number of canceled trains, while adhering to headway and station capacity constraints. Most instances can be solved in a single optimization run, but for the most complex instances we propose a two-stage optimization approach to improve the computational efficiency. The model is tested on real-world instances of the Beijing–Shanghai high speed railway line. The results show that the model is promising for reducing the effect of a disruption on passenger service, especially in comparison with a heuristic method used in practice.
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DOI：
10.1016/j.jrtpm.2011.06.001
发表时间：
2011-11
期刊：
J. Rail Transp. Plan. Manag.
影响因子：
--
作者：
F. Corman;A. D’Ariano;I. Hansen;D. Pacciarelli
通讯作者：
F. Corman;A. D’Ariano;I. Hansen;D. Pacciarelli
影响因子：
4.6
作者：
Veelenturf, Lucas P.;Kidd, Martin P.;Toth, Paolo
通讯作者：
Toth, Paolo
DOI：
10.1016/j.sbspro.2011.04.508
发表时间：
2011
影响因子：
10.6
作者：
F. Corman;F. Corman;A. D’Ariano;D. Pacciarelli;M. Pranzo
通讯作者：
F. Corman;F. Corman;A. D’Ariano;D. Pacciarelli;M. Pranzo
影响因子：
2.7
作者：
Caprara, A;Fischetti, M;Toth, P
通讯作者：
Toth, P
影响因子：
2.6
作者：
A. Schöbel
通讯作者：
A. Schöbel