DocumentCode :
2005082
Title :
Re-scheduling in railway networks
Author :
Wei Fang ; Jun Sun ; Xiaojun Wu ; Xin Yao
Author_Institution :
Dept. of Comput. Sci. & Technol., Jiangnan Univ., Wuxi, China
fYear :
2013
fDate :
9-11 Sept. 2013
Firstpage :
342
Lastpage :
352
Abstract :
Railway transport is one of the convenient public transports, known for its safety, reliability of service, and punctuality. Railway networks, as an important part of railway infrastructure, have been extended in the scale and complexity to meet constantly increasing demand of passengers and goods transports. Since railway networks face disturbances more frequently than before as a result of severe weather conditions, signal faults, and increased demand etc., highly efficient re-scheduling approaches are needed to help train dispatchers to re-schedule trains. Many re-scheduling approaches in railway networks have been proposed considering different disturbances scenarios. These approaches are classified by their characteristics and reviewed in detail in this paper. Since re-scheduling problem is usually formulated by different models in the literature, these models are also reviewed along with the approaches. Conclusions and future work on the re-scheduling approaches are given at the end.
Keywords :
evolutionary computation; expert systems; heuristic programming; integer programming; linear programming; rail traffic; scheduling; goods transports; passenger demand; punctuality; railway infrastructure; railway networks re-scheduling; railway safety; railway service reliability; railway transport; re-scheduling problem; Delays; Heuristic algorithms; IP networks; Junctions; Rail transportation; Real-time systems; Schedules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence (UKCI), 2013 13th UK Workshop on
Conference_Location :
Guildford
Print_ISBN :
978-1-4799-1566-8
Type :
conf
DOI :
10.1109/UKCI.2013.6651326
Filename :
6651326
Link To Document :
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