Optimal purchase subsidy design for human-driven electric vehicles and autonomous electric vehicles

•A novel purchase subsidy policy for AEVs and HDEVs.•The nested logit model is applied to characterize users’ vehicle choice behavior.•The problem is formulated as a mixed integer nonlinear programming model.•A customized branch and bound method is developed to obtain the optimal solution. This pape...

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Veröffentlicht in:	Transportation research. Part C, Emerging technologies Jg. 116; S. 102641
Hauptverfasser:	Chen, Shukai, Wang, Hua, Meng, Qiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.07.2020
Schlagworte:	Autonomous electric vehicles Customized branch-and-bound method Human-driven electric vehicles Mixed integer nonlinear programming model Nested logit model Purchase subsidies Nested logit model Purchase subsidies Mixed integer nonlinear programming model Autonomous electric vehicles Customized branch-and-bound method Human-driven electric vehicles
ISSN:	0968-090X, 1879-2359
Online-Zugang:	Volltext
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