Road network familiarity is a key attribute that affects passengers’ travel route choice. This paper constructs a differentiated travel generalized cost function based on the passenger’s road network familiarity and the influencing factors of route choice, and uses the Regret Theory to construct a route choice model. By setting passenger decision-making rule weights increase the flexibility of the model. The paper uses the method of combining RP survey and SP survey to conduct route selection behavior survey and calibrate model parameters. Finally, the prediction results before and after the passenger classification are compared with the survey data. The prediction error value is 5.98%, and the prediction accuracy after passenger classification is improved by 6.03%. The effectiveness of the prediction model is verified and the necessity of passenger classification is verified.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Research on metro passenger flow route selection model based on passengers' familiarity with road network


    Beteiligte:
    Liu Yiting (Autor:in) / Jia Shunping (Autor:in)


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Modelling passenger distribution on metro platforms based on passengers’ choices for boarding cars

    Fang, Jiping / Fujiyama, Taku / Wong, Howard | Taylor & Francis Verlag | 2019


    Research on Passenger Distribution of Metro Network

    Li, Xin / Xu, Jie / Song, Zhenyang et al. | Springer Verlag | 2022


    Research on Passenger Distribution of Metro Network

    Li, Xin / Xu, Jie / Song, Zhenyang et al. | British Library Conference Proceedings | 2022



    Extracting Metro Passengers' Route Choice via AFC Data Utilizing Gaussian Mixture Clustering

    Wu, Xingtang / Dong, Hairong / Gao, Shigen et al. | IEEE | 2018