DocumentCode :
2900323
Title :
An evolutionary multi-objective approach for speed tuning optimization with energy saving in railway management
Author :
Chevrier, Rémy
Author_Institution :
INRETS ESTAS, Univ. Lille Nord de France, Villeneuve-d´´Ascq, France
fYear :
2010
fDate :
19-22 Sept. 2010
Firstpage :
279
Lastpage :
284
Abstract :
An approach for speed tuning in railway management is presented for optimizing both travel duration and energy saving. This approach is based on a state-of-the-art evolutionary algorithm with Pareto approach. This algorithm provides a set of diversified non-dominated solutions to the decision-maker. A case study on Gonesse junction (France) is also reported and analyzed.
Keywords :
Pareto optimisation; decision making; evolutionary computation; railway engineering; Gonesse junction; Pareto approach; decision-maker; energy saving; evolutionary multiobjective approach; railway management; speed tuning optimization; state-of-the-art evolutionary algorithm; travel duration; Acceleration; Energy consumption; Evolutionary computation; Optimization; Rail transportation; Resistance; Tuning; Energy saving; Evolutionary algorithm; Multi-objective; Optimization; Railway management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on
Conference_Location :
Funchal
ISSN :
2153-0009
Print_ISBN :
978-1-4244-7657-2
Type :
conf
DOI :
10.1109/ITSC.2010.5625026
Filename :
5625026
Link To Document :
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