The invention relates to the technical field of ant colony algorithms, in particular to a parking path planning method and system for an intelligent parking lot. The method comprises the following steps: firstly, obtaining a road section congestion influence degree of a driving road section according to a vehicle passing frequency and a congestion time loss degree of the driving road section; adjusting the information volatilization rate of the driving road section by using the road section congestion influence degree of the driving road section, and obtaining the adjusted information volatilization rate of each driving road section; and based on the adjusted information volatilization rate of each driving road section in the parking lot plane graph, obtaining an optimal parking path corresponding to the entrance to the to-be-analyzed end point. The information volatilization rate in the ant colony algorithm is reasonably adjusted according to the vehicle jam condition on the driving road section when the ant colony algorithm is adopted, so that the parking path is reasonably planned, and the parking efficiency of the intelligent parking lot is guaranteed.
本发明涉及蚁群算法技术领域,具体涉及一种面向智能停车场的停车路径规划方法及系统。本发明首先根据行车路段的车过频繁度以及堵塞时间损耗度,获取行车路段的路段拥堵影响度;利用行车路段的路段拥堵影响度对行车路段的信息挥发率进行调整,获取各个行车路段的调整后的信息挥发率;基于停车场平面图中各个行车路段的调整后的信息挥发率,获取入口到待分析终点对应最优停车路径。本发明中依据采用蚁群算法时行车路段上车辆堵塞情况,对蚁群算法中信息挥发率进行合理调整,以实现合理规划停车路径保障智能停车场的停车效率。
Parking path planning method and system for intelligent parking lot
面向智能停车场的停车路径规划方法及系统
2025-03-14
Patent
Electronic Resource
Chinese
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