Title :
A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks
Author :
Wei Fang ; Shengxiang Yang ; Xin Yao
Author_Institution :
Dept. of Comput. Sci. & Technol., Jiangnan Univ., Wuxi, China
Abstract :
Rescheduling in railway networks is a challenging problem in both practice and theory. It requires good quality solutions in reasonable computation time to resolve unexpected situations, involving different problem scales, railway network infrastructures, objectives, and constraints. This paper presents a comprehensive survey on different problem models for rescheduling in railway networks by a clear classification. Some frequently used models are described in detail through reviewing their variables and constraints. This paper also focuses on the solution approaches proposed in the literature. The main ideas of the solution approaches with the objectives are described. Based on our review results, the analysis of the problem models used in various problem types and the solution approaches used in different problem models are presented. Conclusion and suggestions for further research to rescheduling in railway networks are drawn toward the end of the paper.
Keywords :
integer programming; rail traffic; scheduling; mixed integer programming; railway network infrastructures; railway network rescheduling; Delays; Job shop scheduling; Linear programming; Mixed integer linear programming; Modeling; Rail transportation; Real-time systems; Rescheduling; alternative graphs; heuristics; meta-heuristics; mixed-integer programming; railway networks;
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2015.2446985