安徽工程大学学报2025，Vol.40Issue(1)：8-14,7.
基于粒子群算法的垂直泊车路径研究
Simulation Study of Vertical Parking Based on Particle Swarm Algorithm
摘要
Abstract
Automatic parking in narrow vertical spaces in urban areas requires higher control accuracy of the vehicle.In order to effectively assist the vehicle parking in vertical spaces and improve the safety of parking,this paper proposes a model prediction tracking algorithm based on optimization of the particle swarm algorithm,by constructing a kinematic model of the vehicle,conducting path analysis of the vehicle,and designing the parking path control of the vehicle.Meanwhile,the particle swarm algorithm is introduced to solve the predicted control rate to realize the continuous optimization control of the parking process.The joint simulation of CarSim/Simulink proves that the particle swarm optimization algorithm introduced in the model prediction can satisfy the parking demand in the narrow vertical parking space.关键词
自动泊车/粒子群算法/CarSim/垂直泊车/联合仿真Key words
automatic parking/particle swarm algorithm/CarSim/vertical parking/joint simulation分类
计算机与自动化引用本文复制引用
徐亮亮,王建平,张家高,唐杨,夏春婷..基于粒子群算法的垂直泊车路径研究[J].安徽工程大学学报,2025,40(1):8-14,7.基金项目
芜湖市科技计划重点研发项目(2022yf05) （2022yf05）
