Modeling And Analysis Of Collision Avoidance Strategy At Signalled Intersection Based On CPN

With the continuous increase of urban car ownership,urban traffic congestion is becoming more and more serious.In the existing intersection signal control system,vehicle drivers enter and pass through the intersection by observing the change of the signal light,and there is a problem of delayed execution of control instructions.In addition,with the increase of traffic flow,vehicle conflicts in the intersection area will increase greatly,which will easily lead to vehicle collision and traffic deadlock.In this paper,vehicle-vehicle and vehicle-person conflicts are identified and resolved to avoid collision.Signal control and indicator control are used to avoid collision and deadlock at intersections,and Colored Petri Nets(CPN)is used to model and analyze the strategy.The main contents of this paper are as follows:1.According to the trajectory of traffic flow and pedestrians in the intersection,the intersection is divided into 8×8 grids.Based on this,the signal control system model and the intersection grids model are established.The intersection grids model can be connected with the two-phase or four-phase signal control system by the fusion place.2.Aiming at the conflict problem in intersections,firstly,the strategy of using signal lights to solve the conflict problem in different situations is put forward,and the conflict avoidance strategies of direct and left-turn vehicles,pedestrians and left-turn vehicles under the signal control system are described by CPN.By analyzing the state space of the model,it is proved that the strategy can effectively avoid conflicts.3.Aiming at the problem of deadlock at intersections,a general conflict avoidance and deadlock avoidance algorithm using virtual indicator lights are proposed.Based on this,conflict avoidance CPN Model for single conflict and two associated conflicts and deadlock avoidance CPN model are established.Synchronic distance is used to verify the correctness of the algorithm,and state space and experimental data analysis are used to verify the effectiveness of the algorithm.