Congestion Management Methods Based On Traffic Information Extraction In Regional Road Network

With the development of society and economy and urbanization process, the traffic congestion is prevalent in the world, especially be in large and middle-sized cities, urban traffic congestion has become an important issue that affects normal urban function exertion and urban continually development. How effective to carry on the traffic congestion management, has been the hot topic by researches and engineers in various countries.Along with the advanced information technology, control technology and other technologies were introduced into traffic field, ITS has developed on the basis of these technologies, and traffic congestion was considered could be resolved effectively and completely based on ITS. Because ITS information has multi-source, heterogeneous and so on typical characteristic, travel information processing, indexing and extraction have become the key of development and application of ITS.The highly-efficient traffic information extraction method, is the premise of congestion management in regional road networkt based on ITS. On the basis of congestion management and traffic information extraction and relevant study, this dissertation makes an in-depth study of traffic state information and traffic flow feature information extraction methods, then implements the effective congestion management plan in region road network based on the practicality demand of traffic managers and travelers.The main contents of this dissertation are as follows:The research progress of congestion management policy and the correlation technologies was reviewed, and the information demand of congestion management in region road network was analyzed. The concept and theoretical system of traffic information extraction was proposed based on traffic information characteristic description. Then a methodology that provides a framework of congestion management was presented based on traffic information extraction. Granular computing theory was applied in traffic information extraction, and traffic information granule and its granularity were defined. A method was proposed for traffic state information granule construction based on vague sets. The traffic state information extraction method of regional road network traffic state was proposed for road section travel state and bottleneck identification.In order to analyze the traffic state of regional road network accurately, travel state analysis methods were proposed for regional road network based on the fuzzy inference theory; it could provide the richer travel state information for macroscopic congestion management. A fuzzy information fusion model was proposed for multi-source information from floating car, loop and artificial report; it can identify the travel state of links and regional network. The major influencing factors of bottleneck links identification were determined. The bottleneck links identification method was proposed through rules extraction based on rough set theory. The travel state was acted as decision attribute, and then the traffic flow feature information table was constructed by road grade, time and traffic parameters. The traffic flow features of regional road network were extracted based on rough set. The urban road network was described based on graph theory, and also the information quantity evaluation model of traffic flow feature was proposed based on information entropy. The preliminary generation method of VMS layout scheme was design combined with the topological structure characteristics of practical road network. According to drivers'response properties of VMS information, the VMS guidance strategies for congestion management were designed. When the correlation links were all in congestion state, the relative optimal traffic state link discrimination method was proposed based on vague sets sorting. The drivers'route-planning demand of traffic guidance system was analysed, the influence factors of ideal-route are distinguished, and then the attributes and characters of individuation route demand are analyzed in detail. The route-planning methods are proposed based on distance, time, level of service and integration attributes. The integrated individuation route-planning frame is proposed.The content, characters and transmission utility of travel information were studied intensely, and the travel information transmission model and travelers' information searching model for multi-user were proposed, then the travel information of multi-user demand were analyzed in detail. According to the actual situation of travel information transmission in China, the index system and assessment method were proposed for effectiveness assessment of travel information. Then a travel information transmission index model was proposed. These methods could be applied to evaluate the acceptance level of travel information and transmission quality based on the travelers'and traffic managers'viewpoints, in the hope to lay a theoretic platform for travel information transmission mode programming in regional road network.