摘要
为便捷有效地引导驾驶员在停车场内寻找车位,设计一种面向新型建筑智能化平台的停车路径规划方法。利用交互式蚁群算法选择最佳车位并且在算法迭代过程中交互各个智能计算节点内的最佳路径以及最佳种群信息,使得各个智能计算节点能够快速准确地找到最佳路径。试验结果表明,利用该方法搜寻最短路径的可靠性较传统蚁群算法提高了4.5%,较遗传算法提高了16%,验证了交互式蚁群算法在停车场中运用的有效性和可靠性。
In order to guide drivers to find parking spaces in the parking lot conveniently and effectively,this paper studies a parking path planning method for new intelligent building platform.This method uses the interactive ant colony algorithm to select the best parking space,and interacts the best path and the best population information of each intelligent computing node in the algorithm iteration process,so that each intelligent computing node can quickly and accurately find the best path.The experimental results show that the reliability of the proposed method is 4.5%higher than the traditional ant colony algorithm and 16%higher than the genetic algorithm,which verifies the effectiveness and reliability of the interactive ant colony algorithm in parking lot.
作者
张红艳
谢陈磊
袁翠艳
ZHANG Hongyan;XIE Chenlei;YUAN Cuiyan(Key Laboratory of Intelligent Building&Building Energy Conservation of Anhui Province,Anhui Jianzhu University,Hefei 230022,China)
出处
《枣庄学院学报》
2022年第2期14-23,共10页
Journal of Zaozhuang University
基金
国家重点研发计划资助项目(2017YFC0704100)
校级科研项目(JZ192012)。
关键词
新型建筑智能化平台
停车场
路径规划
交互式蚁群算法
new intelligent building platform
parking lot
path planning
interactive ant colony algorithm
