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Dynamic Parking Allocation Model in a Multidestination Multiple Parking Lot System
IEEE Intelligent Transportation Systems Magazine ( IF 3.6 ) Pub Date : 2022-04-29 , DOI: 10.1109/mits.2022.3166788
Yan Wang 1 , Qun Chen 2
Affiliation  

In a multidestination multiple parking lot system, multiple parking lots are available near a destination, and multiple destinations can be served by the same parking lot. The allocation of the parking demand of each destination to each parking lot is called the parking allocation problem . The factors that affect the driver’s parking choice are analyzed, including parking fees, parking space search time, and walking time. Considering the dynamic parking demand and drivers’ probabilistic choice of each parking lot and that the parking amount allocation during each time period must meet the capacity constraints of each parking lot, an equivalent mathematical programming model was established. The solution algorithm for the proposed model was proposed. A numerical example verified the proposed model, and the influences of dynamic parking charge on drivers’ parking choice and the balance of utilization among different parking lots were discussed. The proposed model can provide a basis for parking facility location optimization and dynamic parking pricing strategy.

中文翻译:

多目的地多停车场系统中的动态停车分配模型

在多目的地多停车场系统中,在一个目的地附近有多个停车场可用,并且多个目的地可以由同一个停车场服务。每个目的地的停车需求分配到每个停车场称为车位分配问题。分析了影响驾驶员停车选择的因素,包括停车费、车位搜索时间和步行时间。考虑到每个停车场的动态停车需求和驾驶员的概率选择,以及每个时间段内的停车量分配必须满足每个停车场的容量约束,建立了等价的数学规划模型。提出了该模型的求解算法。数值算例验证了所提模型,讨论了动态停车收费对驾驶员停车选择和不同停车场利用平衡的影响。该模型可为停车设施选址优化和动态停车定价策略提供依据。
更新日期:2022-04-29
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