To alleviate the congestion caused by long parking lines in office-oriented garages, we explore the parking reservation management strategy and focus on the optimization of arrival patterns. A k-means algorithm based on dynamic time warping (DTW) is initially applied to extract the representative arrival patterns of parking vehicles. Based on these patterns, a bi-objective arrival optimization model is then developed to decrease traffic delay time and reduce individual discomfort due to arrival time shifts. The Pareto solution set is obtained, suggesting a potentially optimal balance between traffic delay and individual discomfort. The further analysis indicates that, strategically redistributing a small percentage of vehicle arrivals can mitigate congestion under certain conditions. For small-, medium-, and large-sized garages, shifting 9.01%, 6.90% and 11.07%, respectively, of the arrival demand to either of the adjacent time windows can reduce traffic delay time by 32.74%, 49.01% and 63.27%, respectively.


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    Titel :

    Managing parking reservations to mitigate congestion in office-oriented garages


    Weitere Titelangaben:

    X. ZHANG ET AL.
    TRANSPORTATION LETTERS


    Beteiligte:
    Zhang, Xinying (Autor:in) / Xie, Minghui (Autor:in) / Yan, Sanghuiyu (Autor:in) / Wang, Yuanqing (Autor:in) / Gao, Yanan (Autor:in)

    Erschienen in:

    Transportation Letters ; 17 , 2 ; 295-309


    Erscheinungsdatum :

    07.02.2025


    Format / Umfang :

    15 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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