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Evolution of optimal control for energy-efficient transport

  • An evolutionary algorithm is presented to solve the optimal control problem for energy optimal driving. Results show that the algorithm computes equivalent strategies as traditional graph searching approaches like dynamic programming or A*. The algorithm proves to be time efficient while saving multiple orders of magnitude in memory compared to graph searching techniques. Thereby making it applicable in embedded applications such as eco-driving assistants or intelligent route planning.

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Metadaten
Document Type:Conference Object
Language:English
Parent Title (English):IEEE Intelligent Vehicles Symposium Proceedings. Dearborn, MI, USA, 8-11 June 2014
First Page:1121
Last Page:1126
ISBN:978-1-4799-3639-7
DOI:https://doi.org/10.1109/IVS.2014.6856455
Publisher:IEEE
Date of first publication:2014/07/17
Tag:eco-driving; energy efficient transportation; evolution strategies; optimal control
Departments, institutes and facilities:Fachbereich Informatik
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2015/04/02