Dispatching and coordination in multi-area railway traffic management

被引:90
作者
Corman, F. [1 ,2 ]
D'Ariano, A. [3 ]
Pacciarelli, D. [3 ]
Pranzo, M. [4 ]
机构
[1] Katholieke Univ Leuven, Ctr Ind Management, B-3001 Heverlee, Belgium
[2] Delft Univ Technol, Maritime & Transport Technol Dept, NL-2628 CD Delft, Netherlands
[3] Univ Roma Tre, Dipartimento Ingn, I-00146 Rome, Italy
[4] Univ Siena, Dipartimento Ingn Informaz & Sci Matemat, I-53100 Siena, Italy
关键词
Train rescheduling; Disturbance handling; Large-scale problems; Centralized and distributed optimization; REAL-TIME; SYSTEM; ALGORITHM; AREA; DISTURBANCES; STABILITY; NETWORKS; TRAINS; MODEL;
D O I
10.1016/j.cor.2013.11.011
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper deals with the development of decision support systems for traffic management of large and busy railway networks in case of severe disturbances. Railway operators typically structure the control of complicated networks into the coordinated control of several local dispatching areas. A dispatcher takes rescheduling decisions on the trains running on its local area while a coordinator addresses global issues that may arise between areas. While several advanced train dispatching models and algorithms have been proposed to support the dispatchers' task, the coordination problem did not receive much attention in the literature on train scheduling. This paper presents new heuristic algorithms for both local dispatching and coordination and compares centralized and distributed procedures to support the task of dispatchers and coordinators. We adopt dispatching procedures driven by optimization algorithms and based on local or global information and decisions. Computational experiments on a Dutch railway network, actually controlled by ten dispatchers, assess the performance of the centralized and distributed procedures. Various traffic disturbances, including entrance delays and blocked tracks, are analyzed on various time horizons of traffic prediction. Results show that the new heuristics clearly improve the global performance of the network with respect to the state of the art. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:146 / 160
页数:15
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