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The Research On The Prediction Model And Solution Algorithm Of Urban Taxi Number

Posted on:2015-03-11Degree:MasterType:Thesis
Country:ChinaCandidate:S T MuFull Text:PDF
GTID:2252330428985723Subject:Traffic and Transportation Engineering
Abstract/Summary:
Urbanization is a general trend in the development of the world today. With thedevelopment of urbanization and the residents travel activities more frequently,people’s demand for travel is become higher and higher. The urban passenger taxi as apart of the public transport, with its characteristics of flexible, convenient, fast andcomfortable, plays a positive role in people’s life. However, in recent years, the rapiddevelopment of urban passenger taxi, while easing the lack of urban passengertransportation and satisfying the people’s requirements to travel quality, also bringsnew problems and challenges to the urban passenger transportation system. Impropercontrol of the number of taxis, many cities have appeared in a total lack of demand tothe quantity of taxi or the phenomenon of its excess, followed by a resident traveldemand can’t meet or traffic congestion, environmental pollution, resource waste anda series of problems become more and more serious.Many cities have realized the seriousness of the problem. Under the Bus PriorityPolicies, they have had a widespread attention on the management of passenger taxi.So city taxi passenger ownership becomes the people’s focus. Paper’s main researchcontent is to relieve the urban passenger taxi ownership effectively, to ensure thesustainable development of urban passenger taxi industry. Through the investigationand study, I found that the study of urban passenger taxi ownership in domestic wasnot considered the specific economic development status and the correspondingpolicy of the city. When studying the urban passenger taxi ownership, the paperamends passenger taxi ownership of the year in affected by the policy, to eliminatepolicy implications. By the improved BP neural network, paper research thedevelopment regularity of the city passenger taxi ownership under the no policyfactors influencing, and then combined with the city’s development planning, makereasonable planning of urban passenger taxi development.This paper takes Changchun city as the research object. Through a large numberof references and the related investigation, and analyzing the development of the taxiin Changchun and the related influence factors, paper amends the taxi passengerownership of the year affected by the policy. Then build a model, and put forward theproposal to the development of Changchun city taxi passenger based on this.Paper divided into six chapters to research, the main content of the chapters areas follows:The first chapter introduces the research background, research purpose,significance. And by analyzing the research status at home and abroad, paper confirmthe main research contents and technical route. The second chapter discusses the meaning of the taxi and points out that thethesis of the research object. The paper divides the development history of domesticurban taxi industry into three phases, and introduces the operation mode of urbanpassenger taxi and the management system, and then discusses the orientation ofurban passenger taxi in urban passenger transport system and the main function. In theend, this paper comes up with the taxi development trend, combined with the statusanalysis.The fourth chapter analysis common forecasting methods of urban passenger taxiownership and makes comparative of this methods in the fist. And then paperestablishes improvement measures on the basis of BP neural network predictionmethod, aiming at its disadvantages, to determine the improved prediction model ofurban passenger taxi ownership. In the end, paper discusses the model algorithmprinciple, as well as the solving process, in details.The fifth chapter takes Changchun city as the research object, by concedingChangchun passenger taxi development condition, under the no policy factors, andplans the development of Changchun passenger taxi ownership. Statistic the influencefactors of Changchun passenger taxi and get the specific parameter of the quantitativeindicators, and then conclude orthogonal principal component influencing factors byAnalysis (PCA). Correct the passenger taxi ownership of policy implications yearusing the BP neural network model, then coupled with Changchun passenger taxi’sprincipal component impact indicators, forecast Changchun passenger taxi ownership.In the end, combined with the development policy of Changchun city, paper putsforward reasonable Suggestions of the passenger taxi development of Changchun city.The sixth chapter makes the summary and the outlook. And induce thesiscomplete contents, new ideas and problems which need to be studied further.With the economic development, population scale expands unceasingly andadvancing urbanization, urban passenger taxi’s orientation and development of urbanpassenger transport system also need to delve into study. This article concluded urbanpassenger taxi ownership optimization model of no policy implications, afteranalyzing the influence factors of urban passenger taxi ownership and commonforecasting models. And then it is taking Changchun as an example to put forward thecorresponding suggestion of the development of passenger taxi ownership. Model hasa certain generality, and has far-reaching significance to study the development ofdifferent urban passenger taxi ownership.
Keywords/Search Tags:taxi ownership, no policy affect, BP neural network, MATLAB
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