| With the rapid development of economy and the accelerating urbanization,the vehicle ownership and roads road traffic volume increases and the traffic congestion and safety problem has been becoming more and more serious.Especially,a vehicle would encounter a great number of signalized and Unsignalized-intersections in a regional road network.Due to its disorder,there are more traffic accidents in the Unsignalized-intersections.Combining with the advanced sensor technology,wireless communication technology,and intelligent vehicle technology,the Cooperative Vehicle Infrastructure System(CVIS)can collect and fuse a great real-time information,thereby realizing the information sharing and interaction of both the vehicle-to-vehicle(V2V)and vehicle-to-infrastructure(V2I).Moreover,it can forecast and deal with the running and conflict status of both the roads and intersections,thereby ensure that the vehicles can be safe and effective in complex traffic environment.In the thesis,we first overview the research on the Unsignalized-intersections in the CVIS with different road network scales.And then the basic of the Unsignalized-intersection is introduced.Moreover,we illustrate the control theory of the Unsignalized-intersection and that in the CVIS.Based on it,the library of the traffic rule is developed for the CVIS.The regional Unsignalized-intersection control method is analyzed in the V2V and V2I real-time information interaction mode.Firstly,the CVIS based unsignalized control system framework is set up and the control scene and flow is illustrated.Then an Unsignalized-intersection optimized control method is proposed based on the Timed Petri net.The method allows the multi-lanes intersections which contain turn-left,turn-right and straight flows to distribute the right-of-way and guide the vehicle speeds,thereby making the vehicle orderly and efficient through Unsignalized-intersection.Secondly,a CVIS based route guidance method is proposed for three different travel demands.Such proposed method can balance the regional traffic flow distribution and improve efficiency via optimizing both the speed and path simultaneously.By using the Q-paramics and VS2013,we have constructed a regional Unsignalized-intersection control test platform based on the CVIS.And based on it,two tests have been performed.The first test is used to compare the performance of the CVIS based regional Unsignalized-intersection control and the traditional Unsignalized-intersection control for different traffic loads in the case where the road network is with different scales and relative equilibrium traffic flow distribution.The second test is designed to compare the performance of the CVIS based regional Unsignalized-intersection control and the traditional Unsignalized-intersection for three different travel demands in the case where the road network is with a middle scale and two different disequilibrium traffic flows.Both test results show that the CVIS based regional Unsignalized-intersection control is with greater efficiency in comparison with the traditional Unsignalized-intersection control. |