Research On Bidirectional Optimization Method Of Intersection Signal Control Under The Environment Of Vehicle Infrastructure Coopetative Systems

Because the phase release sequence and release time of signal-controlled intersections are mostly fixed,and the actual arriving traffic flow fluctuates randomly,the intersection not only endows vehicles with the right of passage in time and space,but also blocks some vehicles.With the continuous development of information technology,the network of vehicles and data communication have become the new development direction of road traffic in China in the near future.The control of vehicles can be realized through real-time communication.Therefore,by means of the vehicle-vehicle,vehicle-roadside facility communication function,combined with vehicle control strategy,this paper studies the two-way optimization method of vehicle speed guidance and signal timing,so as to reduce vehicle stopping and delay at the intersection as much as possible,and improve the operation efficiency of the intersection.Firstly,the existing problems of the traditional adaptive signal control method are analyzed,and the principle and shortcomings of the research on the dynamic signal timing method under the vehicle-road collaborative environment are summarized.In view of the above deficiencies,the system framework of vehicle speed induction and dynamic signal control two-way optimization in vehicle-road cooperative environment is set up.According to the operating conditions of vehicles at intersections and aiming at forming saturated fleets,the theoretical ideas and implementation methods of vehicle speed induction strategy are discussed,and the induced speed varies with the adjustment of signal timing.According to the time when the green light is on,the vehicle induced speed and the initial green time are determined,and according to the traffic flow state after the induction of the vehicle speed,the dynamic adjustment control method and control process of the green time without blocking the traffic flow are proposed.Secondly,an evaluation index model with linear weighted value of delay and stopping time loss as comprehensive evaluation index(PI)is constructed.Aiming at minimizing the average PI value of vehicles at the intersection,a dynamic adjustment optimization model of signal timing and induced speed was established.In order to reduce the blocking of traffic flow,a phase green time adjustment scheme was determined according to the optimization objective.The applicable conditions of the optimization model were analyzed,including factors such as unit green time,intersection traffic volume,induced speed interval,etc.,and the model parameters were determined according to the influence on the control effect of the optimization scheme.Finally,by simulating the actual intersection as test object,with the aid of the SUMO traffic simulation software first present situation simulation,simulation calibration parameters,secondly,respectively,to implement dynamic signal timing control scheme only induced control scheme,only the implementation of the vehicle speed and signal control two-way optimization scheme proposed in this paper for simulation analysis.The simulation results show that the average vehicle PI value after the implementation of dynamic signal timing is reduced by 16.94% compared with the current scheme,and the average vehicle PI value after the implementation of vehicle speed induction is reduced by 15.14% compared with the current scheme,indicating that the signal dynamic control and vehicle speed induction can significantly reduce the average vehicle PI value.After the two-way optimization scheme of signal control parameters proposed in this paper is implemented,the average PI value of the vehicle is reduced by 19.05% compared with the current scheme,which is better than the dynamic signal timing control scheme only or the speed induction control scheme only,which proves the effectiveness of the two-way optimization method proposed in this paper.