关键词: 立体车库, 时间特性, 非参数检验, 分布特征 , 泊松过程

Abstract: In order to improve the operation efficiency of car parking and car departure in a stereo garage, this paper analyzes the distribution characteristics of customer arrival, customer departure and vehicle residence time in the stereo garage, and sets up an operation time model of customer car parking and car departure by using real arrive-departure data. A discrete distribution model is used to fit vehicle arrival and departure time of the stereo garage, with a continuous distribution model of vehicle residence time for fitting. A non-parametric test analysis method is used to verify and analyze the multi-period data, make sure of the fitting precision, and, at the same time, accurately describe the distribution characteristics of the arrival time and residence time of customers in different time periods. The verification results show that the arrival time of customer car parking and car departure obeys Poisson distribution and the residence time in the garage obeys Gamma distribution. The simulation compares the vehicle simulation arrival process with the actual operation arrival process, which shows that the arrival process of customer car parking and car departure the stereo garage conforms to the Poisson process. The study on the time distribution characteristics of stereo garages is helpful to obtain the passenger flow information of time-segment garages, which provides a reference for studying the operation process of this kind of stereo garages and the subsequent scheduling strategy design.