The inherent limitation and applicable condition of the Logit Model and Mixed Logit model are studied separately, parameters estimation and simulation analysis of mixed logit model are presented based on Monte Carlo. For network traffic assignment, a logit model is adopted to compute travelers' route choice probability at departure time. At nodes able to switch to another route, the mixed-logit model was presented to calculate travelers' switching probability. The total travel time and route choice probability were compared between two conditions of considering and non-considering switching routes. At last, an example is shown to test the model and algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Dynamic traffic assignment model based on mixed-logit


    Beteiligte:
    Maolu, Chen (Autor:in) / Lingjuan, Chen (Autor:in) / Zengqiang, Wang (Autor:in)


    Erscheinungsdatum :

    01.08.2017


    Format / Umfang :

    378674 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Combined multinomial logit modal split and paired combinatorial logit traffic assignment model

    Wang, Jian / Peeta, Srinivas / He, Xiaozheng et al. | Taylor & Francis Verlag | 2018


    C-Logit Stochastic System Optimum Traffic Assignment

    Yong, Gui / Xu, Yan | Springer Verlag | 2016


    Contributions to Logit Assignment Model

    Leurent, Fabien M. | Online Contents | 1995



    Application of Cross-Nested Logit Route Choice Model in Stochastic User Equilibrium Traffic Assignment

    Bekhor, Shlomo / Reznikova, Lena / Toledo, Tomer | Transportation Research Record | 2007