| With the rapid development of urban economy, the accelerating of urbanization andresidents’ living standard improved gradually in China, the demand for transportation isbecoming much more, causes the relationship between transportation and economydevelopment with daily life more closely. This phenomenon is more obvious in large andmedium-sized cities, residents’ increasing income stimulates the growth of vehicles,when the corresponding traffic managements can’t synchronize, it will lead to more andmore traffic problems such as congestion, accidents and indirectly cause energy waste,environmental pollution, economic loss problems, it also become a negative factor ofinfluencing urban sustainable and harmonious development. Among these problems,traffic congestion is particularly serious, which not only increases residents’ travel time,reduces travel efficiency, but also causes inconvenience to residents’ travel, whichgreatly reduces the effective operation of the urban traffic system.In urban road network, traffic capacity includes two aspects: road traffic capacityand intersection traffic capacity. As interrupted traffic flow facilities, the signalintersection always set alternate red and green light signal artificially, these can bringvehicles convenience in passing the intersection for different directions, at the same time,it might block the continuity of traffic flow, lead to the traffic capacity of intersectionless than section capacity. Therefore intersections are seen as trigger points of trafficcongestion. When the key intersection appears congestion, if not take timely andeffective measures, the congestion will be quickly transformed to upstream associatedintersection, likely cause regional traffic congestion. Therefore, solving congestionproblem of intersections group formed by the key intersections and associated closelyadjacent nodes is the focus research in transportation field.Basing on the study of the intersections group both at home and abroad, this paperdeeply analyzes the diffusion mechanism of the intersections group and the analysis ofthe impact on traffic capacity. Using complex network to study the complexity of theurban road network, and the intersections group is put forward based on thecharacteristics of the complex network community. Basing upon the discontinuous traffic flow characteristics of the intersection in intersections group, applying the traffic wavetheory and the blockage effect on the upstream of road traffic flow with different queuelength, considering the practical operation of vehicles at the same time, analyzing theinfluence of queue length on the traffic capacity of the trunk road and law of intersection,providing the theoretical basis for the research of intersections group of the traffic stateidentification and signal control and guidance system of collaborative research.In the thesis, the important role of the traffic state of intersection-group in trafficsignal control and dynamic traffic guidance is considered, takes the traffic statediscrimination of intersections group as the research object. First study on the base oftraffic state discrimination-traffic parameters prediction, analysis carefully of thecharacteristics of Elman neural network on the basis of analyzing the characteristics ofshort-time traffic flow, the method of section average velocity short-term forecast using adynamic recurrent neural network based on the variable gain factor is put forward, theeffectiveness of the method is verified using real-time data. On the base of obtainingaccurate future traffic parameters, the idea of the new basic unit of intersection-group isput forward, what is taking key intersection and related sections as a basic unit, usingintersection saturation, the section average speed and time occupancy for combinationdiscrimination of the basic unit traffic state, the model is verified based on the measureddata of the intersection of the Renmin Street and the Ziyou Road and its south importsections, results show that the combination discriminant method can improve theidentification precision, reduce the error brought by the single parameter. And the queuelength calculation formula of oversaturated intersections is given, it can provide accuratesection length for travel time prediction and convenient dynamic traffic informationcalculation in traffic guidance.The cooperation optimized model for traffic signal control and traffic guidance ofintersections group is the focus of this paper, the relationship of traffic signal control andtraffic guidance as well as the impact on traffic flow are taken into account, thecollaborative feasibility of intersections group is analyzed, the driver route choicebehavior is studied from the driver’s travel experience, the VMS traffic state guidanceinformation and the car terminal optimal path information based the prospect theory, andon this basis, the registration system optimal dynamic traffic assignment model is set up.Eventually set up the double layer cooperation model of traffic signal control dynamictraffic guidance of intersections group, the effectiveness of the model is verified usingthe simulative network. On the base of collaborative model in chapter four, the information demand of thedrivers in the process of travel and the choice behavior of drivers for traffic guidanceinformation are taken into account in the fifth chapter. According to the characteristics ofthe intersections group, starting from the actual survey data, under the intersections group,research the publish content of traffic signal control and traffic guidance collaborativeinformation, information distribution way, collaborative information optimization ofrescue vehicles and information collaborative management plans in accidents and so onto realize the quick reach of rescue vehicles after emergency incidents, and eventuallyreach the purposes of emergency aid. Finally the collaborative management of buses andrescue vehicles under the emergency incidents is verified using the simulation method. |
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