Research On I/O Configuration And Location Allocation Strategy Optimization Of Plane Mobile Stereo Garage

With the acceleration of social modernization process,the number of urban motor vehicles is increasing.The unbalanced development of urban parking infrastructure and the number of motor vehicles leads to the increasingly prominent urban road traffic problems.The emergence of automatic stereo garage is helpful to improve the utilization rate of urban land resources,relieve the traffic pressure of urban roads,and improve the problem of urban parking difficulties.There are various types of automated stereo garages.Among them,the plane mobile stereo garage has been widely recognized and applied in the process of urban development and construction due to its high degree of intelligence,strong adaptability to the site and many other advantages.In the construction planning of stereo garage,reasonable I/O port configuration and parking space allocation strategy can effectively improve the operation efficiency of stereo garage and the utilization efficiency of resources in the garage,improve the satisfaction of customer service,avoid the shortage or waste of parking space,and meet the parking demand of customers.Through the analysis of domestic and foreign scholars’ related research,this article mainly from the following aspects:(1)Brief introduction to the development status of urban road traffic,compares and analyzes the domestic and foreign literature on stereo garage,and expounds the important significance of optimizing the research on I/O configuration and location allocation strategy of stereo garage.(2)Introduce the equipment structure of the plane moblie stereo garage,analyze the work flow of the vehicles parking and picking up,take the average waiting time of customers,average waiting queue length,average service time and garage operation energy consumption as the evaluation indexs of the operation efficiency of the stereo garage.Based on the theory of queuing theory,establish a queuing model for analyzing the actual operation of the stereo garage,and statistically fit the characteristic parameters of the customer arrival interval.(3)MATLAB/SimEvents simulation module is used to study and analyze the number of I/O ports in stereo garage.Queuing simulation models with 1-4 I/O ports are built respectively.The utilization rate of I/O ports,the number of lost customers,the occupancy rate of service desk,the average waiting time of customers and the waiting queue length are analyzed under the four simulation models,and the corresponding relationship between the customer flow and the number of I/O ports is obtained.Compile a simulation program of the garage I/O location layout,analyze the evaluation index data of the stereo garage under different I/O location layouts,and obtain the I/O port location layout with higher operating efficiency.(4)In order to reduce the no-load running distance of the stereo garage scheduling equipment and reduce the energy consumption of the stereo garage,the BP neural network optimized by the dragonfly algorithm is used to predict the parking time of the garage vehicles.At the same time,the dragonfly algorithm optimization neural network and genetic algorithm,particle swarm optimization algorithm and simulated annealing optimization neural network prediction model are compared and analyzed.The simulation results show that the dragonfly algorithm optimized neural network prediction model can more accurately predict the vehicle residence time,and has better prediction accuracy.(5)Based on the prediction of vehicle residence time,the change state of storage location at different times in the stereo garage is analyzed.At the same time,the mutation factor and parallel search are introduced to optimize and improve the tabu search algorithm.The neural network prediction model optimized by dragonfly algorithm is combined with the improved tabu search algorithm,and the dynamic storage location allocation strategy of the stereo based on vehicle residence time is designed.By comparing dynamic storage space allocation strategy with genetic algorithm,particle swarm optimization algorithm optimization of the stereo garage operation efficiency evaluation index data,it proves that the dynamic storage space allocation strategy designed in this paper has a better optimization effect in the process of parking space allocation,and can be more effective.Effectively improve the operation efficiency of the stereo garage,and provide a reference for the construction planning of the stereo garage and the selection of parking space allocation strategies.