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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    Title :

    Managing parking reservations to mitigate congestion in office-oriented garages


    Additional title:

    X. ZHANG ET AL.
    TRANSPORTATION LETTERS


    Contributors:

    Published in:

    Transportation Letters ; 17 , 2 ; 295-309


    Publication date :

    2025-02-07


    Size :

    15 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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