Subarea Division And Signal Control Optimization Algorithm Of Urban Road Network Based On Multi-Target Radar Data

With the rapid development of urban social economy and the increasing degree of motorization,the individual development of residents’ travel is getting faster and faster,which is directly manifested as a sharp increase in travel demand.The urban road traffic flow has brought unprecedented traffic pressure increased rapidly,and the dilemma that the traffic supply cannot support the modern travel demand is becoming increasingly prominent,which has brought about lots of problems such as traffic jam,traffic safety,environmental conservation and so on.It seriously reduces people’s travel satisfaction and become the bottleneck of urban sustainable development.It is of great significance and engineering value to study the traffic congestion characteristics of urban road network and implement the coordinated control of regional intersections to alleviate the traffic congestion problem of urban road network.The current optimization strategy of regional signal coordination control often ignores the influence of factors such as discrete traffic flow,intersection difference,road network structure and signal phase,etal,and the design scheme is general and "one-size-fits-all",which is difficult to adapt to the actual traffic demand and the optimization effect is not obvious.In view of the dynamic development of urban traffic demand and the actual structure of road network,it has become one of the effective means to relieve traffic congestion to reasonably divide the sub-area of road network and design the coordinated control and optimization scheme,so as to realize the effective operation of urban traffic control.On account of this,it is necessary to comprehensively analyze the influence of many traffic factors,calculate the correlation degree of the intersection,divide the control subarea according to the correlation degree,reasonable design of signal coordination scheme to divide the signal control for the area,and finally realize the signal coordination control of the intersection in the road network.With the rapid development of vehicle detection technology,all kinds of detector for traffic signal control provides more rich data sources.The multi-target radar detector has overcome the existing technical defects and can sense the road traffic conditions in real time,accurately,comprehensively and all weather,which has been popularized and applied in more and more cities.In this paper,through the analysis and mining of the data collected by multi-target radar,the control subarea of the road network is divided,the signal coordination control model of the control subarea is constructed,and the simulation environment is established to verify the effectiveness of the coordination control optimization scheme.The main research contents of this paper are as follows:(1)Traffic signal control subarea division based on improved Newman algorithm.Taking subarea coordination and control as the goal,a comprehensive correlation degree model integrating distance,traffic flow,saturation and signal cycle correlation degree was constructed by comprehensively considering the influencing factors of adjacent intersections’ correlation.The traditional Newman algorithm is used to signal control subarea division.Finally,an example is given to verify the effectiveness of the improved algorithm.(2)Optimization model of subarea division signal coordination control based on the minimum number of stops.The minimum number of stops was selected as the objective function of signal coordination control optimization,and the cycle length and the minimum green time were taken as constraints to construct the signal coordination control optimization model of subarea.Genetic algorithm is used to solve the signal timing optimization model.At the same time,this paper studies and analyzes the mechanism of phase difference optimization at adjacent intersections,and specifies the calculation method of phase difference of adjacent intersections and the optimization order of phase difference.(3)Case verification analysis based on VISSIM simulation.The simulation network is used to verify the effectiveness of the subdivision signal coordination control scheme.This paper selects Qingdao downtown regional road network for example analysis.Through simulation operation,compared before and after optimization of average parking number,average vehicle delay and the average travel time,verify the effectiveness of the method to design the signal timing scheme.The results show that the average stopping times of vehicles in the subdivision decreased by 24.22%,the average delay time decreased by 17.8%,and the average travel time decreased by 35.89%,which shows that the signal coordinated control scheme designed by the method in this paper can effectively improve the regional traffic operation efficiency.