Abstract It is important to strengthen the research on urban rail transit (URT) existing line renovation strategies. In this paper, we investigate the optimization of bottlenecks that are less attractive but have strong travel demand in existing URT networks. A URT local line optimization model is constructed. The maximum passenger flow and minimum project cost are chosen as the optimization objective for the benefit of both passengers and operators, and several actual constraints are considered in the proposed model, such as the station interval. In order to obtain higher computational efficiency and accuracy, a passenger flow allocation method is embedded in a genetic algorithm with elitist preservation. Taking the local network of the Beijing URT as a case study, the calculation results show that the designed algorithm can quickly and effectively obtain the optimal solution, and the generated local line scheme is able not only to meet the regional travel demand, but also to optimize the connection relationship of the existing URT network. This study can provide a reference method for increasing the attraction of URT and optimization of existing URT networks.


    Access

    Download


    Export, share and cite



    Title :

    A Local Line Optimization Model for Urban Rail Considering Passenger Flow Allocation


    Contributors:
    Peng He (author) / Hao Tang (author) / Feng Chen (author) / Zijia Wang (author) / Ying Sun (author) / Bobo Yang (author) / Jin Wang (author) / Na Li (author)


    Publication date :

    2024




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Urban rail transit train timetable optimization method and system considering passenger flow distribution

    SUN YUANGUANG / ZHOU WEITENG / YANG RUIXIA et al. | European Patent Office | 2023

    Free access


    Passenger Flow Prediction for Urban Rail Transit Stations Considering Weather Conditions

    He, Kangkang / Ren, Gang / Zhang, Shuichao | British Library Conference Proceedings | 2020


    Passenger Flow Prediction for Urban Rail Transit Stations Considering Weather Conditions

    He, Kangkang / Ren, Gang / Zhang, Shuichao | Springer Verlag | 2020