基于分时段非参数检验的立体车库时间特性分析

Time characteristic analysis of stereo garages based on time-segment non-parametric tests

为提高立体车库存取车运行效率,分析立体车库顾客到达、离去及车辆停留时间的分布特征,采用工程实际到达-离去数据,建立立体车库顾客存取车过程运行时间模型,以离散型分布模型对立体车库车辆到达、离去时间进行拟合分析,以连续型分布模型对车辆库内停留时间进行拟合,采用非参数检验分析方法对多时段数据进行验证分析,确保拟合精度的同时,准确描述不同时段顾客存取车到达时间、停留时间的分布特征,验证结果为顾客存取车到达时间服从泊松分布,车辆库内停留时间服从伽马分布。仿真对比车辆模拟到达过程与实际运行到达过程,表明该立体车库顾客存取车到达过程为泊松过程。研究立体车库时间分布特性有助于获取分时段车库客流信息,为研究此类立体车库运行过程及后续调度策略设计提供参考。

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.