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Research on Parking Space Allocation of Stereo Garage Based on Improved Genetic Algorithm

Qi Liu  Ye Zhang  Ying Wang  Jiaojiao Xu  Ze Ye  Gang Yin  
【摘要】:In order to improve the traffic pressure of urban vehicles, improve the access efficiency of garages and reduce the waiting time for access, a queuing model is established based on the queuing theory. Considering the influence of parking layers and columns on the overall operation efficiency, an improved genetic algorithm is proposed to analyze the layout and energy consumption of parking space allocation in stereo garages. The traditional genetic algorithm and the improved genetic algorithm are used for parking space allocation. The results show that the improved genetic algorithm can improve the vehicle operation efficiency and reduce energy consumption, and solve the existing problems of three-dimensional garage, which has practical reference value.

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