DocumentCode
3352844
Title
Simulation and optimization of subway tunnel profiles
Author
Ruelland, François ; Al-Haddad, Kamal
Author_Institution
Societe de Transp. de Montreal, Que.
Volume
4
fYear
2006
fDate
9-13 July 2006
Firstpage
2659
Lastpage
2664
Abstract
This paper describes how the longitudinal profile between two railway station platforms can be subjected to an energy minimization process. The preferred minimization method is an evolution by genetic algorithms (GAs). Two processes are first described: the GA process and the profile coding process prerequisite to optimization by GAs. Simulation results are discussed in the remainder of the paper. Those results show that in order to save energy two steps should be followed. First, optimize the profiles for the best running time. Second, reduce the train speed while meeting the required line capacity criteria
Keywords
genetic algorithms; railways; tunnels; GAs; energy minimization process; genetic algorithms; preferred minimization method; profile coding process; railway station platforms; subway tunnel profiles; Biological cells; Capacitive sensors; Computational modeling; Costs; Genetic algorithms; Gravity; Light rail systems; Minimization methods; Power generation economics; Rail transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location
Montreal, Que.
Print_ISBN
1-4244-0496-7
Electronic_ISBN
1-4244-0497-5
Type
conf
DOI
10.1109/ISIE.2006.296032
Filename
4078808
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