Optimal driving path planning for new energy vehicles based on ant colony algorithm
In order to improve the driving efficiency of new energy vehicles and make more effective use of energy,this study proposes an optimal driving path planning method based on ant colony algorithm.After establishing the kinematic model of new energy vehicles,this study uses ant colony algorithm to determine the activity path node parameters of new energy vehicles,thereby constructing a path planning objective function.Then,by solving the objective function,the optimal driving path planning result is obtained.The experimental results show that this method can effectively plan the shortest path between the starting and ending points,shorten the driving distance of new energy vehicles,and improve driving efficiency.
ant colonynew energy vehiclesdriving pathpath planning
NETL
NSTL
万方数据
