Guidance Optimization And Cooperative Operation Of Group Vehicles

In recent years,with the increasing number of cars,the scale and load of urban traffic are also increasing,resulting in high traffic accident rate,traffic congestion,serious environmental pollution and other traffic problems,affecting the normal operation of the entire road network,and congestion continues to spread to second and third tier cities.With the development of the city and traffic network,increasing the number and width of roads has shown many limitations,which can no longer solve the increasingly serious traffic problems.With the rapid development of intelligent transportation system and technology in the world,vehicle guidance and multi-vehicle collaborative operation can effectively relieve the traffic pressure and release the road network resources.This paper takes the overall efficiency of the road network as the optimization goal,allocates the group vehicles,establishes the multi-objective guidance optimization model,and implements the cooperative control strategy for vehicles with common driving routes on road sections to improve the road traffic operation capacity.The main research contents are as follows:(1)According to the demand of road network efficiency optimization,in the Accessible path between the starting point and the destination,taking the maximum driving efficiency of group vehicles as the optimization objective,the road network resources are optimized and allocated according to the capacity and saturation constraints of the path.Taking three evaluation indexes of road saturation,travel time and delay as the optimization objective,the allocation rules of group vehicles on the road network are designed,The multi-objective optimization model of group vehicle guidance is established.(2)Aiming at the multi-objective optimization model of vehicle guidance,two kinds of multi-objective optimization algorithms are used to solve the model,which are NSGA-II algorithm based on multi-objective and particle swarm optimization algorithm.In the latter,the learning factor of the algorithm is dynamically adjusted according to the number of iterations,the optimal Pareto solution set is obtained by two methods,and the results are compared and analyzed.(3)Based on the idea of attraction and repulsion,the interaction force between vehicles is introduced,and the influence of vehicles which are not adjacent to each other in the process of acceleration and deceleration is considered.The vehicle collaborative operation model is established,and the collaborative acceleration and deceleration algorithm is summarized.By optimizing and improving the choice of vehicle acceleration,the efficiency of road operation can be improved.(4)In this paper,SUMO software is used to build the simulation environment of vehicle road collaborative system,set up the vehicle and simulation parameters,and conduct simulation verification on the proposed optimization method with multi-objective evaluation indexes of road saturation,travel time and delay.Set different traffic flow at the entrance,carry out comparative experiments under different permeability conditions,change the proportion of heterogeneous vehicles,and compare the driving efficiency and exhaust emissions of group vehicles under different permeability conditions.In addition,the coordinated operation strategy of vehicles on the road section was verified,and the changes of speed and acceleration of vehicles in the process of coordinated acceleration and coordinated deceleration were compared and analyzed,which verified the effectiveness of the multi-vehicle coordinated operation strategy.The simulation is carried out by combining the guidance allocation and the cooperative control strategy.The results show that the method proposed in this paper can improve the operation efficiency of group vehicles and the utilization rate of road network resources,and reduce the environmental damage caused by some automobile exhaust.The paper includes 44 figures,11 tables and 81 references.