Research on Efficient Vehicle Guidance in Parking Lot Based on GA-DE-PSO Optimization Algorithm
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.
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