Study On Multidimensional Analysis Of Traffic Flow Based On Highway Toll Data

Traffic flow is one of the main parameters to reflect the state of traffic running,How the scientific analysis of highway traffic distribution rule is one of the importantissues facing the highway management department. The Paper to discuss traffic flow onthe basis of the research status and traffic flow analysis, which points out human orexpensive hardware for the acquisition of the traffic flow. Highway traffic flow is farfrom comprehensive, which mainly replys on experience in the analysis of freewaytraffic. Lack of adequate data and advanced technology support, which can not be on thetraffic flow, diversified, multi-layered, multi-angle analysis. Management decisionsoften lack relevance and effectiveness of other shortcomings.In response to these issues, The Paper takes use of the toll station entrances andexits in the data in the existing Highway Toll System and makes a point of a highwaysection’s traffic flow estimation algorithm highway section’s traffic flow estimationalgorithm. Thus it adopts the trends, pivot tables and other data visualizationmethods,which rsponds to the analysis of the highway at different times, the crosssection as well as models of traffic flow data and access to its spatial and temporaldistribution, deeply understands the traffic flow data. It contributes to the highwaytraffic flow spatio-temporal data mining research, and provides scientific managementand decision support tools for the relevant departments. Support targeted on the problemof highway traffic flow management. The Paper Toll System charges data as a basis foranalysis of traffic flow on the highway section and uses the construction of the overallframework, traffic flow estimation processing, the extraction of relevant information,the design of the OLAP cube, data warehouse and cube updates provide some clues. Fortraffic flow analysis, it takes advantage of OWC components of the multi-dimensionalto show.Key issues need to be addressed in the overall framework of the in-depth study.First of all, according to the data environment and data characteristics of the highwaymanagement department, it researchs the traffic flow data extraction based on DTS,andpoints out a traffic flow estimation method based on the data section of the ExpresswayNetwork charges.Secondly,it poses model law analysis of traffic flow data warehouseand OLAP databases,and mainly analyzes the traffic flow data granularity,and the trafficflow data based on the granularity of generalizability..On this basis, it constructes star model of the data warehouse and completes the physical implementation.Based on the above data warehouse model, it selects the section、models、times tomake up of the dimension of the cube as a traffic analysis, and creates a traffic analysiscube.At last, contrary to the practical application of environmental needs, it researchesthe methods and processes the data warehouse updates. Application of the aboveresearch results, it takes advantage of the Chongqing toll collection of highway toll dataplatform,and we develope the Chongqing city expressway section traffic rulemulti-dimensional analysis system,which has a good prospect of this application.