关键词: 车位诱导, 路径规划, 粒子群算法, 神经网络

Abstract: Considering the parking guidance in the management systems of large-scale parking lots，in this study，a novel approach based on particle swarm optimization is presented.The crossover and mutation operators are introduced in the PSO.The information of environment constrains and path length is integrated in the fitness function which is constructed by neural network，the advanced algorithm overcomes the limitation of particle’s “prematurity” in the later phase of convergence.Simulation results are provided to verify the effectiveness and practicability of this approach.

Key words: parking guidance, path planning, particle swarm optimization, neural network