Target vehicle path planning method based on big data fusion of genetic algorithm

Aiming at the problems of low accuracy of optimal path selection and slow efficiency of vehicle matching and planning, a method of target vehicle path planning based on big data fusion of genetic algorithm is proposed. Using big data analysis technology to build the hierarchical structure of target vehicle path planning and determine the constraints of target vehicle path planning; Under the constraints of big data analysis, genetic algorithm is used to encode chromosomes, and population initialization is used to improve the search speed of genetic operators and establish the fitness function of the target vehicle path; Finally, according to the genetic algorithm fusion big data gene operation, the adaptive value and mutation operator are used to screen and mutate the selected sub path, determine the final path coordinates, and realize the target vehicle path planning.Simulation results show that the proposed method can greatly improve the efficiency of vehicle operation, the accuracy of path planning is high, and has good convergence.