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Research On Layout Design And Equipment Configuration Optimization Of Roadway Stacking Stereo Garage

Posted on:2020-04-08Degree:MasterType:Thesis
Country:ChinaCandidate:H F ZhangFull Text:PDF
GTID:2392330578456688Subject:Traffic Information Engineering & Control
Abstract/Summary:PDF Full Text Request
Automated stereo garages play an increasingly important role in solving urban static traffic.The growing of vehicle ownership and the svehiclecity of land resources have driven the development of automated stereo garages.The emergence of automated stereo garages has shortened the access time of vehicles to a certain extent,reduced the waste of resources.As a form of automated stereo garage,the roadway stacking automatic stereo garage not only has large storage capacity,rapid processing,high degree of automation,but also has security inspection,electronic control system and other protective devices in the garage.It has a high degree of application and a wide range of applications.When designing the stereo garage,reasonable planning of the location layout and equipment resource allocation can avoid the waste or shortage of parking space resources after the garage is built,so that it can meet the parking demand.In this thesis,the research on the roadway stacking stereo garage is mainly vehicleried out from the following aspects:(1)The important role of the auto-stereo garage in solving the static traffic problem in modern society is analyzed.Through the research of the stereo garage by domestic and foreign scholars,the importance of the location layout and equipment resource allocation of the stereo garage is expounded.(2)The control mechanism and service characteristics of the roadway stacking automated stereo garage are analyzed,a model of the roadway stacking automatic stereo garage is constructed.A mathematical model of customer queuing in a stereo garage is established based on the theory of queuing theory.Taking the actual running auto-stereo garage customer arrival time as the original data set,the customers’ arrival time interval is calculated,and the probability is fitted as the customer behavior characteristic parameter,and then the different garage queues are analyzed according to the actual running auto-stereo garage.The process of establishing a queuing model for the arrival rate of different vehicles in the garage.(3)According to the queuing system with different operating parameters,the average waiting time of the customer,the average queuing length and the idle probability of the stacker are used as the evaluation indicators of the stereo garage.Referring to the actual running garage,the stereo garage with different storage capacity is designed,and the MATLAB simulation program is used to quantify.The average waiting time of customers,the average queuing length and the idle probability of the stacker under different layers and column layouts are compared and analyzed,and then the layout of the location with higher operating efficiency is obtained.(4)When designing the stereo garage,in the determined location layout,the configuration of the equipment resources of the garage needs to be considered.The goal ofthe equipment resource allocation is to ensure the overall operation of the stereo garage.Rationalize the number of service desks and stackers,on the one hand,it can improve the operating efficiency of the stereo garage,and on the other hand,it can reduce the construction cost of the stereo garage.(5)Under the determined location layout and equipment resource configuration,in order to further optimize the stacker scheduling and improve the operation efficiency of the stereo garage,the stacker’s running distance is taken as the research object,in order to shorten the average waiting time of the customer and the average queuing length.The beam search algorithm optimized by genetic algorithm is used to optimize the stacker’s running path,which shortens the running distance of the stacker and improves the overall operating efficiency of the garage..
Keywords/Search Tags:Stereo garage, Location layout, Queuing theory, Resource allocation, Beam search genetic algorithm
PDF Full Text Request
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