Research On Optimization Models Of Signal Timing Parameters For Arterial Coordination Control

Urban traffic congestion has become a hot topic and traffic control plays a key role in the traffic operation efficiency. Traffic control system theory and technology has become more mature, under certain conditions, so the signal intersection in urban road network which is controlled by a single point signal should be upgraded to the arterial coordination control system. It can promote the efficiency of urban traffic significantly, effectively improve the traffic situations and solve various traffic problems.The basic parameters of the arterial coordination control have common cycle, split and offset. This paper abandons the past method which to optimize a parameter alone or to use the method of intelligent algorithm for global optimization, builds common cycle length and split optimization model, couples with the appropriate offset optimization method and forms the best arterial coordination control scheme. For systematically elaborating the research content, the full text is divided into four parts. The first part, first of all, narrates the research background and significance, at the same time, the domestic and foreign research present situation and existing problems are summarized, introduces the research objectives, research contents, research methods and technical route. The second part analyses the performance of the traffic flow operation and mainly focuses on the applicability analysis of vehicle delay models. According to the previous analysis, the third part chooses the appropriate capacity formula and vehicle delay model to build common cycle length and split optimization model. The proposed models are regarded the maximum capacity and minimum delay as the objective function and the effective green time as the decision variable, and the MATLAB software is used to solve them. Finally, the offset optimization method is integrated and the arterial coordination control optimization scheme is constructed. The fourth part is case study. The appropriate cases are selected. According to the developed optimization model, the optimal signal timing plan is designed and the optimization effect of this plan is analyzed and compared with the current situation. Finally, the effects of the different objective functions and the optimization algorithms on traffic operation have further analyzed, several optimization schemes are designed. Using the VISSIM simulation software, these schemes are contrasted, and then the best optimization scheme is gotten, the effectiveness of the signal timing parameter optimization models for the arterial coordination control is validated.The research results show that both the usability and applicability of the HCM2000 vehicle delay model are both the best. Compared with the current signal timing scheme, the optimization models of minimizing the ratio of the total capacity to total vehicle delay as the objective function and combining with the offset optimization method can be able to increase the capacity of an intersection system and reduce the vehicle delays concurrently. Therefore, the presented optimization models can reasonably set the signal timing parameters for the arterial coordination control and provide the basis and reference for relieving urban traffic congestion and jam.