Multi objective particle swarm optimization algorithm for the design of efficient ATO speed profiles in metro lines

One of the strategies for the reduction of energy consumption in railways systems is to execute efficient drivings (eco-driving). This eco-driving is the speed profile that requires the minimum energy consumption without degrading commercial running times or passenger comfort. When the trains are eq...

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Veröffentlicht in:	Engineering Applications of Artificial Intelligence Jg. 29; S. 43 - 53
Hauptverfasser:	Domínguez, María, Fernández-Cardador, Antonio, Cucala, Asunción P., Gonsalves, Tad, Fernández, Adrián
Format:	Journal Article
Sprache:	Englisch Japanisch
Veröffentlicht:	Elsevier Ltd 01.03.2014 Elsevier BV
Schlagworte:	Algorithms ATO Commands Computer simulation Eco-driving Energy consumption Energy efficiency Metro MOPSO algorithm Pareto optimality Solution space Swarm intelligence Train simulation Trains Eco-driving Energy efficiency Train simulation ATO Metro MOPSO algorithm
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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