DocumentCode
3276384
Title
SIMARAIL: Simulation based optimization software for scheduling railway network
Author
Sajedinejad, Arman ; Mardani, Soheil ; Hasannayebi, Erfan ; Mir Mohammadi K, S. Ahmad Reza ; Kabirian, Alireza
Author_Institution
Tarbiat Modares Univ., Tehran, Iran
fYear
2011
fDate
11-14 Dec. 2011
Firstpage
3730
Lastpage
3741
Abstract
This paper presents an event-driven simulation-based optimization method for solving the train timetabling problem to minimize the total traveling time in the hybrid single and double track railway networks. The simulation approach is well applied for solving the train timetabling problems. In present simulation model, the stations and block sections of the railway network are respectively considered as the nodes and edges of the network model. The developed software named SIMARAIL has the capability of scheduling trains in large scale networks respecting the capacity constraints and infrastructure characteristics. This simulation model for railway timetabling is based on a detailed microscopic infrastructure model, which includes the most detailed infrastructure information. This research is based on integration of a discrete event simulation and GA meta-heuristic algorithm to generate near optimal train timetable. In other words, the simulation model is used to construct a feasible solution for train timetabling problems.
Keywords
discrete event simulation; genetic algorithms; rail traffic; railways; traffic engineering computing; GA metaheuristic algorithm; SIMARAIL; capacity constraint; discrete event simulation; event-driven simulation; genetic algorithm; infrastructure characteristic; microscopic infrastructure model; railway network scheduling; railway timetabling; simulation based optimization software; train timetabling problem; Genetic algorithms; Job shop scheduling; Maintenance engineering; Optimization; Rail transportation; Software; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), Proceedings of the 2011 Winter
Conference_Location
Phoenix, AZ
ISSN
0891-7736
Print_ISBN
978-1-4577-2108-3
Electronic_ISBN
0891-7736
Type
conf
DOI
10.1109/WSC.2011.6148066
Filename
6148066
Link To Document