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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    Titel :

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


    Weitere Titelangaben:

    Signals, Communication Technology


    Beteiligte:
    Gupta, Nishu (Herausgeber:in) / Mishra, Sumita (Herausgeber:in) / Zhang, Yi (Autor:in) / Abraham, Anuj (Autor:in)


    Erscheinungsdatum :

    2023-08-22


    Format / Umfang :

    17 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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