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Research On The Model Of The Traffic Flow Base On Taxi Trajectory

Posted on:2018-10-15Degree:MasterType:Thesis
Country:ChinaCandidate:H WangFull Text:PDF
GTID:2322330512998461Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
City traffic is the key to the city's economic development and people's daily activities,with the economic development gradually accelerated,growing traffic congestion,traffic infrastructure construction has been unable to meet people's demand for travel.For complex urban traffic conditions,people want to find a way to reflect the overall transformation of urban traffic law.The macroscopic traffic flow model,which reflects the situation of the whole traffic network,has guiding significance to the overall control of traffic state,so it is especially important in the traffic flow model.In the macroscopic traffic flow model,the LWR model is widely used because of its advantages such as few parameters,easy calculation and simulation.But in general,the LWR model is suitable for traffic simulation with relatively simple structure,such as continuous two-dimensional plane,straight road,etc..In fact,the urban road network structure is complex and has many interference factors,so there are many difficulties in the combination of LWR model and real road network.Therefore,this paper based on LWR model for the actual road simulation in the study of macro traffic flow has great significance.Based on the LWR model of traffic flow network,this paper describes the structure of the model,the corresponding numerical format and Riemann problem.Then the paper combines taxi GPS data,and access to the relevant traffic information.Based on the actual road network data,the data extraction of road network is completed,and on this basis,the taxi trajectory data is matched to obtain the traffic flow parameters.Finally,the traffic flow network LWR model.GPS data and road network data are fused,and the simulation results are obtained based on the traffic flow network LWR model.The main study contents of this paper are followed:1 firstly,the development history of the macro LWR model is introduced,and the general forms of the traffic flow model are discussed.Then,from the point of view of computation,the basic properties of the model and the numerical scheme are introduced.On the basis of the first order LWR model,the construction method,Riemann problem and the calculation method of the traffic flow network LWR model are described.2 from the point of view of data.Based on the taxi GPS data,the preprocessing,data mining,feature extraction,etc are completed.And based on the road network data.the road network data preprocessing,road direction determination and road network refinement are completed.Finally,the two methods are combined to complete the road matching.3.Based on the traffic flow network LWR model the simulation is realized and according to the traffic flow parameters of the model parameters were adjusted.The main achievements of this paper include:1.Based on the road information and feature extraction results of Beijing City,the main city road network is drawn.2 The traffic flow parameters such as taxi speed and flow are obtained by matching.3 Completed the simulation of traffic flow network LWR model in the road network.The article contains 25 figures,10 tables,and 65 references,including data processing,road network extraction and model simulation.The process of data processing for traffic flow model and provide a reliable basis in the actual road network simulation,and the simulation results have certain significance for the application of LWR model in the actual urban traffic network and the research of macro traffic flow.
Keywords/Search Tags:Network Traffic Flow LWR Model, GPS, Map-matching, Network Extraction
PDF Full Text Request
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