The traditional parking guidance methods are affected by the inherent defects of the optimization search algorithm,and the designed guidance path often cannot achieve global optimization.In view of the short-comings of this point,an efficient vehicle guidance method based on GA-DE-PSO optimization algorithm is designed for parking lots.In this study,the grid method is used to establish a grid map of the parking lot envi-ronment.On the basis of the original goal of minimizing parking time,a collision avoidance objective function is added to establish a multi-objective function model.After integrating GA and DE,GA-DE is used to optimize the PSO algorithm,and GA-DE-PSO is used to optimize the optimal guidance scheme for parking lot vehi-cles.The results show that compared with the three traditional methods,the GA-DE-PSO optimization algo-rithm tekes a shorter parking time,indicating that this method is more efficient and can guide drivers to complete parking behaviors more quickly.
NETL
NSTL
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