This study proposes to find the most appropriate transport modes with an awareness of user preferences (e.g., costs, times) and trip characteristics (e.g., purpose, distance). The work was based on real-life trips obtained from a map application. Several methods including gradient boosting tree, learning to rank, multinomial logit model, automated machine learning, random forest, and shallow neural network have been tried. For some methods, feature selection and over-sampling techniques were also tried. The results show that the best-performing method is a gradient-boosting tree model with the synthetic minority oversampling technique (SMOTE). Also, results of the multinomial logit model show that (1) an increase in travel cost would decrease the utility of all the transportation modes; (2) people are less sensitive to the travel distance for the metro mode or a multi-modal option that contains metro, i.e., compared to other modes, people would be more willing to tolerate long-distance metro trips. This indicates that metro lines might be a good candidate for large cities.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Personalized Context-Aware Multi-Modal Transportation Recommendation


    Beteiligte:
    Chen, Xianda (Autor:in) / Zhu, Meixin (Autor:in) / Tiu, PakHin (Autor:in) / Wang, Yinhai (Autor:in)


    Erscheinungsdatum :

    02.06.2024


    Format / Umfang :

    2433492 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A personalized recommendation system for multi-modal transportation systems

    Fanyou Wu / Cheng Lyu / Yang Liu | DOAJ | 2022

    Freier Zugriff


    Dealing with Bus Delay and User History for Personalized Transportation Recommendation

    Nakamura, Hiroyuki / Zhang, Hongliang / Gao, Yuan et al. | IEEE | 2014


    MULTI-MODAL TRANSPORTATION SYSTEM

    GUIZAR AMADOR LUIS FRANCISCO / MARTINEZ ORDAZ MARIO OSCAR / ROMERO BAILON JULIO ANTONIO et al. | Europäisches Patentamt | 2018

    Freier Zugriff

    Context-Aware Service Recommendation for Moving Connected Devices

    Wong, Raymond K. / Chu, Victor W. / Hao, Tianyong et al. | IEEE | 2012