Research On Combinatorial Optimization Of Arterial Bus Priority Selective Activation And Signal Coordinated Control

Although arterial traditional green wave control can provide continuous passing capabilities for the flow of vehicles in coordinated directions at multiple intersections,it is mainly focused on continuous traffic flows with similar speeds,but probably not fit for low-speed and low-frequency buses.Adding transit signal priority without constraints to green wave control may have a significant negative impact on the bandwidth of the green wave,thereby reducing the effectiveness of arterial signal coordinated control.In addition,the width of the green wave band is difficult to directly quantify the traffic delay from vehicles.Therefore,considering the speed difference between buses and social vehicles and comprehensively quantifying the impact of transit signal priority on the traffic delay of vehicles from both coordinated and uncoordinated directions,it is of great theoretical and practical significance to study combinatorial optimization of arterial bus priority selective activation and signal coordinated control.In order to break through the limitations of traditional green wave control methods that are difficult to balance the traffic rights of both buses and social vehicles,considering the blocking effect of bus priority on social vehicles in mixed traffic scenarios,this paper proposes arterial bus priority selective activation model,arterial signal coordinated control model and thereby combined optimization model,and then designs the corresponding algorithms respectively.Numerical examples are further conducted to verify our proposed models and their algorithms respectively.The main contents and contributions are summarized as follows:Considering the influence of bus priority signal on other vehicles’ delay in different directions,this paper firstly established an integer programming model for arterial bus priority selective activation to maximize the total weighted savings of bus passengers’ delays and social vehicle passengers’ delays,and then the corresponding implicit enumeration algorithm is designed.The effectiveness of the proposed model and the associated algorithm are further verified by numerical results in a three-intersection traffic artery.Secondly,an arterial signal coordinated control model is established for minimizing the total delay of social vehicles in arterial intersections.Simulated annealing algorithm is designed to generate the arterial signal coordinated control scheme.The effectiveness of the signal coordinated control model and its algorithm are also verified by analysis of the resulting results concerning the three-intersection traffic artery.Finally with the purpose of maximizing the total savings of passengers’ delays and passengers’ delays from social vehicles,a combinatorial optimization model of arterial bus priority selective activation and signal coordinated control is established,and its algorithm is then designed based on implicit enumeration method and simulated annealing method.Furthermore,the three-intersection traffic artery is used to verify the performance of the combinatorial model and its algorithm with comparative analysis.