Correlation Analysis And Modeling Of The Floating Car Data And Urban Area Activity

In recent years,science and technology in continuous progress,the community is also constantly developing.Human demand for social services is gradually increasing.So the study of the characteristics of residents' travel behavior has become a hot research topic in today's society.The study of the residents travel behavior can not only better serve people,but also can enrich the theoretical study of human dynamics.Furthermore,the activity of urban areas determines the development of the region,Therefore,it is of practical significance and practical value to use the data of residents' travel behavior to model the degree of urban regional economic activity.The main contents of this paper are: the model of resident trip distribution and the model of urban regional activity are established respectively with using the principle of maximum entropy.In the aspect of urban activity model,the map data of the floating vehicle are mapped to obtain the visual map,and interest points of the inhabitants are excavated.Then establish the cost model of residents' travel and the index of urban regional activity making use of the maximum entropy principle,and finally verify with the empirical data.The main contents of the paper include the following sections:In the aspect of residents' travel distribution,the model of individual travel distance and time interval are established,and the theoretical model is established for individual and group residents.The model of individual residents' trip distribution is established by using maximum entropy principle.By simulating the model of group residents' travel distribution,the parameters of the group which meet the uniform distribution,exponential distribution and Gaussian distribution model were studied respectively,and obtain the distribution characteristics of group residents' trips.The results show that the distance and time interval of individual residents are the exponential distribution,while the travel distance and time interval of the group residents show a power-law distribution.In the aspect of urban regional activity modeling,we choose the appropriate map matching algorithm and clustering algorithm to process and mining the data of the floating car,then get the empirical and effective data.The cost distribution model of residents 'activity and urban region activity is established by using the maximum entropy principle.The results show that the influence of residents' distribution of active travel cost is subject to exponential distribution.In order to explore the cost distribution of urban area more rationally,three typical functions are discussed as constraint conditions,and the simulation model is established.The simulation model is validated by the empirical data,and the distribution of the travel cost which satisfies the power-law distribution is obtained.Finally urban regional activity is quantified and the conclusion is drawn.