Most route choice models assume that people are completely rational. Recently, regret theory has attracted researchers’ attentions because of its power to depict real travel behavior. This paper proposes a multiclass stochastic user equilibrium assignment model by using regret theory. All users are differentiated by their own regret aversion. The route travel disutility for users of each class is defined as a linear combination of the travel time and anticipated regret. The proposed model is formulated as a variational inequality problem and solved by using the self-regulated averaging method. The numerical results show that users’ regret aversion indeed influences their route choice behavior and that users with high regret aversion are more inclined to change route choice when the traffic congestion degree varies. Keywords: Traffic, Stochastic user equilibrium, Regret aversion, User heterogeneity, Route choice


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Stochastic Route Choice Equilibrium Assignment for Travelers with Heterogeneous Regret Aversions


    Beteiligte:
    Meng Li (Autor:in) / Hai-Jun Huang (Autor:in) / Henry X. Liu (Autor:in)


    Erscheinungsdatum :

    2018




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Stochastic User Equilibrium for Route Choice Model Based on Random Regret Minimization

    Bekhor, Shlomo / Chorus, Caspar / Toledo, Tomer | Transportation Research Record | 2012



    Risk Route Choice Analysis and the Equilibrium Model under Anticipated Regret Theory

    pengcheng yuan / zhicai juan | DOAJ | 2014

    Freier Zugriff

    A regret theory-based route choice model

    Li, Meng / Huang, Hai-Jun | Taylor & Francis Verlag | 2017