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基于A*算法的大型停车场停取车动态诱导方法

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针对大型停车场停取车问题展开研究.首先,明确停取车场景,对不同场景下的停取车过程建立相应模型;其次,考虑到大型停车场内部存在既进又出等多种复杂情况,提出一种适用于大型停车场的新型路阻函数;然后,通过A*算法求解最优停取车路径,并对提出的模型进行数值模拟和实例验证.结果表明:提出的停取车动态诱导方法能够适应于不同的停取车场景,且模型结构简单、计算效率高,可以有效降低停取车成本,能够为当前大型停车场的智慧管理提供技术支撑.
Dynamic guidance method of parking and retrieving vehicles in large parking lots based on A* algorithm
Research on the parking and retrieval of vehicles in large parking lots is conducted.Firstly,the park-ing and retrieval scenarios are clarified,and corresponding models for the parking and retrieval processes in different scenarios are established.Secondly,considering the various complex situations such as both entry and exit in large parking lots,a new type of road impedance function suitable for large parking lots is proposed.Then,the optimal parking and retrieval path is solved through the A*algorithm,and the proposed model is nu-merically simulated and verified with examples.The results show that the proposed dynamic guidance method of parking and retrieving vehicles can adapt to different parking and retrieval scenarios,with simple structure and high computational efficiency,which can effectively reduce parking and retrieval costs and provide technical support for the intelligent management of current large parking lots.

A* algorithmdynamic guidanceparking lotparking and retrieving vehicles

焦帅阳、孟伟哲、裴琪正、李爱增、刘至真

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河南城建学院 土木与交通工程学院,河南 平顶山 467036

长沙理工大学 交通运输工程学院,湖南 长沙 410114

A*算法 动态诱导 停车场 停取车

国家自然科学基金青年基金湖南省教育厅一般项目

5230238522C0173

2024

河南城建学院学报
河南城建学院

河南城建学院学报

影响因子:0.457
ISSN:1674-7046
年,卷(期):2024.33(4)