平面移动式立体车库动态库位分配策略建模与仿真
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TP391

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甘肃省自然科学基金资助项目(20JR5RA396);兰州交通大学2019年度创新创业课程建设重点项目(2019CXCYKC03)。


Modeling and simulation of dynamic location allocation strategy for plane mobile stereo garage
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    摘要:

    平面移动式立体车库在车位分配过程中存在顾客排队等待时间过长,车辆出入库效率低下的局限性。为减少顾客等待时间,提高立体车库服务效率,提出一种动态库位分配策略:以蜻蜓算法优化的BP神经网络模型预测车辆的停留时间,并根据车辆停留时间对车库车位进行区域选择,最后利用禁忌搜索算法搜索出该区域内最适宜的车位位置。同时,将顾客平均等待时间,平均等待队长,平均服务时间和车库运行能耗作为评价指标与现有库位分配优化方式进行对比分析,仿真结果表明:该策略能够更为有效地减少顾客等待时间,提高立体车库整体作业效率。

    Abstract:

    In the process of parking space allocation, the plane mobile stereo garage has the limitations of long waiting time for customers and low efficiency of vehicle entry and exit. In order to reduce customer waiting time and improve the service efficiency of the stereo garage, a dynamic location allocation strategy is proposed. The BP neural network model optimized by the dragonfly algorithm predicts the parking time of the vehicle, and selects the parking space of the garage according to the parking time of the vehicle, and finally uses the tabu search algorithm to search for the most suitable parking space in the area. At the same time, the average waiting time of customers, average waiting queue length, average service time and garage operation energy consumption are used as evaluation indicators to compare and analyze with the existing optimization methods of location allocation. The simulation results show that this strategy can more effectively reduce customer waiting time and improve the overall operating efficiency of the stereo garage.

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引用本文

李建国,李博文,杨波.平面移动式立体车库动态库位分配策略建模与仿真[J].重庆大学学报,2022,45(9):126-134.

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  • 收稿日期:2021-08-15
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  • 在线发布日期: 2022-10-10
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