Flexibility of scheduling and operation are important factors of bus rapid transit (BRT). Determining the headway and routes combinations according to the travel demand is the key in schedule optimization of BRT. This paper analyzes the existing model and establishes optimal mathematical model for BRT scheduling. This helps to determine the optimal bus headway and routes aiming to minimize the total travel time of passengers and operating costs of BRT. A genetic algorithm (GA) which applies two-dimensional 0–1 coding to represent pass-by stops sets and frequency was designed to solve the problem. Different schedule is determined by one-point crossover of GA. Finally, the model and the algorithms are illustrated as B1 of BRT in Guangzhou. Paramics-based simulation and evaluation results show that the method can improve BRT scheduling optimizing efficiency.


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    Title :

    Bus Rapid Transit Scheduling Optimal Model Based on Genetic Algorithm


    Contributors:
    Liang, Shi (author) / He, Zhaocheng (author) / Sha, Zhiren (author)

    Conference:

    11th International Conference of Chinese Transportation Professionals (ICCTP) ; 2011 ; Nanjing, China


    Published in:

    ICCTP 2011 ; 1296-1305


    Publication date :

    2011-07-26




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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