This study investigates the phenomenon of bus stop failure due to the non-uniformity distribution of headways and proposes a method to adjust bus headways. In this study, a bus arriving time prediction method using generalized regression neural network (GRNN) was proposed to forecast bus operation data. According to the prediction network, the arriving time of buses at each stop could be predicted and further to determine whether to adjust the arriving time in advance. A case study was conducted to show the applicability of the proposed method with data collected from a bus route in Chengdu, China. The results showed that with the proposed method, the total travel time and stability of headway outperformed the current situation. Further research can be conducted to investigate the effects of different weather and locations on the performance of the proposed method.


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    Title :

    A Headway Adjustment Method Based on Bus Arrival Time Prediction


    Contributors:
    Zhu, Jiaojiao (author) / Ye, Zhirui (author) / Wang, Chao (author) / Yan, Yu (author)

    Conference:

    17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China


    Published in:

    CICTP 2017 ; 1725-1735


    Publication date :

    2018-01-18




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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