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dc.contributor.authorDuan, Mengyuan
dc.contributor.authorQi, Geqi
dc.contributor.authorGuan, Wei
dc.contributor.authorLu, Chaoru
dc.contributor.authorXie, Dongfan
dc.description.abstractBus scheduling plays a significant role in public transportation and supports the sustainable development of transportation systems. Challenges are beginning to appear with the newly emerging electric buses (EBs), as scheduling changes due to fleet composition make traditional fixed timetables no longer able to satisfy operational needs. Moreover, the fixed-trip time hypothesis has been inappropriate for large cities due to the variety of urban traffic statuses. This paper proposes an optimal framework for reforming the mixed operation schedule for electric buses and traditional fuel buses under stochastic trip times. Based on the primary grouping genetic algorithm (GGA), a straightforward framework with a Monte Carlo simulation is presented to optimize the scheduling scheme. Case studies based on the operating environment and service trips of real bus lines in Beijing are conducted to verify the effectiveness of the proposed model by considering both the composition of fleet types and time stochasticity. Additionally, the impacts of stochasticity, fleet composition, government subsidies and cost factors on operational costs are investigated. Considering stochastic trip times, the achieved scheduling strategies can provide the optimal proportion of electric and traditional fuel buses and make a crucial impact on operational costs.en_US
dc.description.sponsorshipThis work was supported by the National Natural Science Foundation of China under Grants No. 71961137008; the Fundamental Research Funds for the Central Universities No.2020YJS096; the National Natural Science Foundation of China under Grants No. 71621001 and 91746201; JPI Urban Europe project ‘SMUrTS’ under Grant No. 299078.en_US
dc.publisherWiley Open Accessen_US
dc.relation.ispartofseriesIET Intelligent Transport Systems;Volume 15, Issue 10
dc.rightsNavngivelse 4.0 Internasjonal*
dc.subjectBus schedulingen_US
dc.subjectOptimal frameworksen_US
dc.subjectElectric busesen_US
dc.subjectCollective transportationen_US
dc.subjectBus operation optimizationen_US
dc.titleReforming mixed operation schedule for electric buses and traditional fuel buses by an optimal frameworken_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.rights.holder© 2021 The Authorsen_US
dc.source.journalIET Intelligent Transport Systemsen_US
dc.relation.projectNorges forskningsråd: 299078en_US

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal