Shared automobile regional scheduling method based on PSO-DE

The invention provides a shared automobile regional scheduling method based on PSO-DE, and the method comprises the steps: carrying out the regional division of a parking point through employing a Kmeans algorithm, and carrying out the statistics of the number of parked automobiles in each region; secondly, constructing a state indication function according to the parking number of each area, and setting a reward mechanism for operating vehicles in different places according to the state indication function; then, the probability that the user operates the vehicle in different places is analyzed, and the cost of each operation of the user is calculated in combination with the parking number of each area and a reward mechanism; establishing a target function according to the cost of each operation of the user; and finally, performing optimization solution on the target function by using a particle swarm differential evolution algorithm to obtain an optimal scheduling scheme. According to the invention, a rewar