Research On The Real-time Analysis System Of Road Traffic Based On Floating Car

With the continuous development of society and the continuous advancement of urbanization,the number of urban population is increasing,and the population density is also increasing.Then,as the wealth of society continues to increase,private cars have also turned from luxury goods to general products.The increase in per capita car ownership and the inability of transport infrastructure to meet actual demand have caused road traffic congestion.Nowadays,traffic congestion has become one of the major problems that need to be solved in major cities in the world.It not only has a serious impact on people's normal working life,but also hinders the sustainable development of society.Therefore,it is of great significance to efficiently and accurately discover the congestion in the city so that the traffic control department can implement the regulation and dispatch,and also provide a route reference for the public traveler.This thesis first introduces the related theories of floating car system,GPS system and GIS system,expounds the composition and main features of these systems,and the application of these technologies in the real-time analysis system of road traffic based on floating cars.Then it introduced in detail the The overall framework design of the system is described in terms of the overall structure of the system,the functional modules of the system,and the software architecture.A detailed analysis of the implementation of the main functions of the system is performed,Finally,the experimental verification of the system is made.T The focus of this thesis is on the research of real-time traffic analysis system based on floating cars,real-time traffic information collected by floating car technology,identification and preprocessing of traffic information,and identification of actual traffic status through pre-processed information.The system structure design module is used to analyze the overall structure,function module and software architecture of the system,and the overall framework of the system is analyzed from these three aspects.The real-time traffic information module is collected by floating car technology,and the parameter settings that the system needs to pay attention to when collecting real-time traffic information are described.This paper mainly deals with the selection of the type of floating car,the time interval of collecting information and the determination of the minimum sample size of the road.The corresponding analysis.The traffic information identification and preprocessing module analyzes the method of identifying and processing the error information and lost information,remove data that is not reasonable,which makes the information valid and accurate.The traffic status analysis module describes the preprocessed information through road segmentation and map matching so that the floating car finds its own road section.Through obtaining the real-time floating car data of the road section,the average travel speed of all floating cars of the road section is estimated,and then the average travel distance is calculated.Speed analysis and identification of traffic conditions,and then publish these information,so that users can intuitively see these traffic conditions,in order to plan their own route,reduce the occurrence of congestion.Finally,select the realistic road that meets the requirements of the experiment as the research object,the road can represent the actual operating status of a city road,at the same time,the experimental data and experimental results were analyzed.the feasibility of the system was verified and it has certain practical significance.