Title :
Simulation and optimization of subway tunnel profiles
Author :
Ruelland, François ; Al-Haddad, Kamal
Author_Institution :
Societe de Transp. de Montreal, Que.
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;
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
DOI :
10.1109/ISIE.2006.296032