| Under the background of the rapid development of urbanization and motorization, traffic problems has become one of the main problems of the country. As an important part of the intelligent transportation system, arterial traffic signal coordination control is very important to relieving traffic congestion and improving traffic efficiency. This paper puts the intersection as the main study object, study the trunk signal coordination control, and mainly study the realizable method of the trunk signal coordination control based on the offset optimization.Based on the study of the basic theory of route traffic signal control, and maximum the green-wave band and minimum delays method to analyze the existing urban trunk traffic signal coordination control and its characteristics, establish the urban trunk signal coordination control model base on normal traffic conditions to description and analysis the vehicle delay of route traffic flow through the intersection in normal traffic conditions.Phase difference of Control Variable in two-direction green wave coordinate control strategy was optimized using simple genetic algorithm simulation experiments were held in visual C++6.0 environment simulation its 10 cycles. Route simulation and genetic algorithms were designed to solve urban simulation intersection of Route optimal control problems,Example on East Avenue intersection of Bengbu,establish a trunk signal coordinated control optimization model,get the optimized phase and trunk total delay,comparative and analysis the obtained results with the results of timing control. Experimental results show that the optimized Route total delay phase was less than the total delay in the timing control of the trunk, delayed impact on the intersection of Route slip direction is also smaller. Demonstrate the effectiveness of the model, and good use of the genetic algorithm computing speed, fast convergence properties, and fully meet the requirements of real-time optimization phase. |
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