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Research And Implementation Of Regional Intelligent Parking Guidance System

Posted on:2019-07-31Degree:MasterType:Thesis
Country:ChinaCandidate:S PanFull Text:PDF
GTID:2432330602461026Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of the city and the increase of car ownership,the problem of"difficult parking" becomes more and more serious.How to improve parking efficiency,use information technology to reduce the time to find a parking lot,and improve the satisfaction of travelers to the parking lot has become a hot research topic.Based on the analysis of the existing research work,this paper conducts in-depth research from three aspects:user-oriented parking behavior decision-making model,parking occupancy prediction and indoor parking location guidance method,conducts demand analysis,designs and preliminarily realizes regional intelligent parking guidance system,aiming at providing intelligent parking guidance for parking users in the target area and improving parking efficiency.The main research work is as follows:(1)In view of the problem of the information asymmetry of the parking lot around the exit and the destination,this paper analyzes the main attribute of the parking user by means of the investigation data analysis,uses the genetic algorithm to determine the weight of the different impact attributes,and constructs an active shut-down inducing model to the parking user,which is the way to induce the parking user to perform the initiative by calculating the combined selection index of the parking lot in the area of the target area.(2)In view of the problem of the demands of parking space occupancy management in the parking lot,the parking space occupancy in the parking lot is predicted based on markov model.As the parking space occupancy of a parking lot is affected by many factors,the state transfer matrix will change.In this paper,the traditional markov prediction model is improved by adding the updated state transfer matrix in the prediction process,so as to improve the prediction accuracy of parking space occupancy.(3)In view of the disadvantages of vehicle GPS,beidou and other navigation technologies,which rely too much on satellites and have weak signals in the parking lot and cannot carry out accurate positioning,this paper proposes an iBeacon based indoor parking location induction method,which combines triangulation algorithm and fingerprint map location algorithm library to conduct combined positioning algorithm.(4)In view of the area of intelligent parking guidance system functional requirements analysis,design and data collection module,data communication module,data management and processing module,data module,the query and pay five modules,such as module design and database related data table,preliminary implementation system basic function.
Keywords/Search Tags:Parking induction, Parking behavior selection, Markov model, Combined location algorithm
PDF Full Text Request
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