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.