In existing bus operation systems, the on-board passenger delay is always neglected. With the aim to make the trade-off between stop passengers and on-board passengers, a bi-objective study on a bus operation system is carried out to minimize the stop passenger delay as well as the on-board passenger delay for smart cities. The bus operating system is formulated as a mixed logical optimization model incorporating both speed control and holding time control and is transformed into a mixed-integer nonlinear programming (MINLP) problem, which is analyzed by comparing the corresponding bus movement characteristics under two different objectives. On the other hand, to satisfy a compromise between two types of passengers, a bi-objective bus operation problem is proposed and solved by the non-dominated sorting genetic algorithm II (NSGA-II) and non-dominated sorting harmony search (NSHS) algorithm, respectively. The comparison of two algorithms is conducted in the simulation to illustrate associated efficiencies.


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    Title :

    Bi-objective Study of Public Transport Operation in Smart Cities to Minimize On-Board Passenger Traveling Time and Stop Passenger Delay


    Additional title:

    Signals, Communication Technology


    Contributors:
    Gupta, Nishu (editor) / Mishra, Sumita (editor) / Zhang, Yi (author) / Abraham, Anuj (author)


    Publication date :

    2023-08-22


    Size :

    17 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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