Study Of Analysis And Application About Traffic Flow Characteristic Based On Networking Toll Data

With the development of China’s highway, network tolling system has become animportant part of the Intelligent Transportation Systems, has accumulate amounts of data inthe process of operations.Based on these data analysis and processing, Excavation knowledgeof transportation theme, Both enriched and improved traffic flow theory, while providingdecision support for the highway management. This thesis extract and transformation oftraffic theme data to support research of analysis and application of traffic flow feature.Networking tolling system data is a recorded contents of the toll collection process, onthe basis of research on freeway traffic operating system,and analysis of highway toll systemsdata structure, to build a network of charging data processing and analysis framework andcarried out a detailed study on conversion methods to extract the traffic subject data. Based onSQL Server database management platform, to establish a variety of transportation subjectcomputing models, and store all the traffic subject data to the traffic theme database. Thisdatabase as a basis for analysis and applied research.According to traffic theme database, analysis week varying characteristics and Dayvarying characteristics and Time-varying characteristics, also build the highway traffic flowweek varying models and vehicle travel speed probability density function models.While, deeply excavation interchange traffic, combined with the urgent needs of theHighway Freeway Operations and Management, use the toll station charge data, establish atoll station staff scheduling and pass card divert model, and based on genetic programmingalgorithm and heuristic solution of the model.