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Selecting sustainable electric bus powertrains using multipreference evolutionary algorithms

descriptionPublicationkeyboard_double_arrow_right Article , Journal 10 Jan 2018 Australia Publisher:Informa UK LimitedJournal:International Journal of Sustainable Transportation, volume 12, pages 592-612 (issn: 1556-8318, eissn: 1556-8334,

Authors: João P. Ribau; Susana M. Vieira; Carla M. Silva;

doi: 10.1080/15568318.2017.1418464

Selecting sustainable electric bus powertrains using multipreference evolutionary algorithms

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Abstract

ABSTRACTConstant improvement of vehicle technologies towards more efficient powertrains and reduced pollutant emissions, frequently leads to the increase of the vehicle or fuel costs, compromising ...

Country

Australia

Related Organizations

Institute of Transport Studies
Australia
Institute of Transport Studies
Australia
University of Lisbon
Portugal
Instituto Superior de Espinho
Portugal
Instituto Dom Luiz
Portugal

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Keywords

330, mode - bus, physical programming, life cycle analysis, economics - operating costs, urban bus, electric vehicles, technology - emissions, operations - performance, place - urban, 620, 629, technology - alternative fuels, multi-objective optimization, infrastructure - vehicle, Decision making

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average