Metro system plays an essential role in urban public transportation. Studying and understanding how passengers make their path decision are of significance for metro system management. Thanks to the state-of-art of the Auto Fare Collection (AFC) system, every individual trip information is recorded. However this system only provides information of origin and destination spatial-temporal information, the specific route that chosen by every passenger are not available. In this paper, a passengers' routing behavior extracting method, which combines the analytical method and the data based method, is proposed. This method firstly models the travel time to obtain the effective path set based on some rules. By applying the Gaussian Mixture Model (GMM) clustering, the AFC date between an OD pair is assigned to every effective path such that the probability of being chosen for every effective path can be obtained. Our method can achieve a relatively high accuracy with low computing cost when comparing with other methods. Our method is applied to analyze the network of Beijing metro, simulation results demonstrate that the method is able to process large-scale AFC data and obtain the passengers' path choice pattern.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:
    Wu, Xingtang (Autor:in) / Dong, Hairong (Autor:in) / Gao, Shigen (Autor:in) / Li, Wei (Autor:in) / Zhang, Qi (Autor:in)


    Erscheinungsdatum :

    01.11.2018


    Format / Umfang :

    366460 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Predicting Express Train Choice of Metro Passengers from Smart Card Data

    Kim, Kyung Min / Hong, Sung-Pil / Ko, Suk-Joon et al. | Transportation Research Record | 2016



    Constrained multinomial Probit route choice modeling for passengers in large-scaled metro networks in China

    Zhang, Yongsheng / Yao, Enjian / Wei, Heng et al. | Elsevier | 2017

    Freier Zugriff

    Modeling Travel Routes Choice of Metro Passengers Considering Guidance Information

    Liu, Jing / Chen, Xiaoran / Wang, Xuening et al. | ASCE | 2020


    Deduction of passengers' route choice from smart card data

    van der Hurk, Evelien / Kroon, Leo / Maroti, Gabor et al. | IEEE | 2013