In recent years, the random regret minimization (RRM) model has arisen as the counterpart of the random utility minimization (RUM) model in the transportation analysis. In the conventional RRM model, the inability to account for the route perception variance is shown with a two-route small network. Considering the route length of different alternatives, a location-based model is proposed in this paper. In the newly proposed model, two ratios - including the ratio between considered regret and alternative route travel time and the ratio between considered route travel time and alternative route travel time - play an important role in the modification. With the proposed model, the choice probability for the two-route testing network is calculated again and the anticipated choice probability is shown. With a medium-sized traffic network, the choice probability for different routes restricted to a specific Origin Destination (OD) pair is also calculated to demonstrate the effectiveness of the newly proposed model.


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    Titel :

    Location-Based Route Choice Model under Random Regret Minimization


    Beteiligte:
    Ji, Xiangfeng (Autor:in) / Zhang, Jian (Autor:in) / Hu, Yongkai (Autor:in) / Ran, Bin (Autor:in)

    Kongress:

    14th COTA International Conference of Transportation Professionals ; 2014 ; Changsha, China


    Erschienen in:

    CICTP 2014 ; 3177-3184


    Erscheinungsdatum :

    24.06.2014




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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