Research on the range anxiety of battery electric vehicle (BEV) drivers is limited, and research on the route choice of such drivers has been restricted to a fixed range limit modeled as a distance constrained shortest path problem. In this paper, a more general network route choice model based on the range anxiety of BEV drivers is formulated as a nonadditive shortest path problem. More appropriate for BEVs, a tour-based analysis with a continuum of range limits is considered, and an outer approximation algorithm has been used to find the optimal path. Numerical experiments on a small network demonstrate how the routes taken by BEV drivers are influenced by their risk attitudes and uncertainty in the predicted range of the vehicle.


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    Titel :

    Network Route Choice Model for Battery Electric Vehicle Drivers with Different Risk Attitudes


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:


    Erscheinungsdatum :

    04.04.2019




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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