A regional bus timetable optimization model was developed to improve the public transit attraction by reasonably adjusting the headway of various periods to reduce the passengers’ waiting time and transfer time. First, topology network structure indices as node betweenness and node degree such as passenger flow at bus transfer stations are considered to evaluate the importance of nodes. Second, assessment of the system cost, the waiting time cost of transfer passengers, and the costs of schedule deviation, is conducted to evaluate the effect of the optimal method conducted in this paper. Then a regional bus timetable optimization model is developed and solved with applying a particle swarm optimization algorithm for the appropriate headway between the objective buses. To verify the validity of the model, three bus lines in Beijing were taken as an example. Results show that the total system cost can be decreased by 8.6% with this model.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Regional Bus Timetable Optimization Based on Node Importance


    Contributors:
    Han, Yan (author) / Ma, Xuezhao (author) / Guo, Linfeng (author)

    Conference:

    22nd COTA International Conference of Transportation Professionals ; 2022 ; Changsha, Hunan Province, China


    Published in:

    CICTP 2022 ; 522-532


    Publication date :

    2022-09-08




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Optimizing the draft passenger train timetable based on node importance in a railway network

    Chen, Dingjun / Ni, Shaoquan / Xu, Chang’an et al. | Taylor & Francis Verlag | 2019


    Railway Timetable Optimization

    Reisch, Julian | TIBKAT | 2021

    Free access

    Region Public Transportation Timetable Optimization Based on Node and Line's Wait Analysis

    Sun, W.-x. / Song, T. / Ma, L.-x. | British Library Conference Proceedings | 2009


    Bus departure timetable optimization method

    ZUO XINGQUAN / WANG KAIYUAN / HUANG HAI | European Patent Office | 2022

    Free access