运输车辆机器人存取车路径优化算法研究
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  • 英文篇名:Research on Path Optimization Algorithm for Vehicle Access Vehicles in Transportation Vehicles
  • 作者:陈宁 ; 梁欢欢 ; 孔祥希 ; 胡立渝 ; 韩吉
  • 英文作者:CHEN Ning;LIANG Huan-huan;KONG Xiang-xi;HU Li-yu;HAN Ji;College of Engineering,Nanjing Agricultural University;
  • 关键词:智能停车库 ; 运输车辆机器人 ; 最短路径 ; Dijkstra算法
  • 英文关键词:Intelligent Parking Lot;;Automated Guided Vehicle Robot;;Shortest Path;;Dijkstra Algorithm
  • 中文刊名:XDJS
  • 英文刊名:Modern Computer
  • 机构:南京农业大学工学院;
  • 出版日期:2019-04-25
  • 出版单位:现代计算机
  • 年:2019
  • 期:No.648
  • 基金:南京农业大学大学生科研训练计划(SRT)项目资助(No.1830A08)
  • 语种:中文;
  • 页:XDJS201912007
  • 页数:5
  • CN:12
  • ISSN:44-1415/TP
  • 分类号:30-34
摘要
针对智能停车库中的运输车辆机器人AGV,首先根据停车场结构示意图,对某一时刻停车场实际路网进行抽象,将要求的路径优化问题转化为最短路径问题。与实际问题相结合确定停车场AGV路径优化的算法为Dijkstra算法,最后通过MATLAB软件编程算法并进行求解,算出每个空闲车位相对应的最短的存取车路径及距离总和,提高AGV存取车效率,节省时间。结果证明Dijkstra算法在AGV存取车路径优化中的可行性和实用性。
        Focuses on the transport vehicle robot AGV in the intelligent parking garage,firstly,according to the parking lot structure diagram,the actual road network of the parking lot is abstracted at a certain moment,and the required path optimization problem is transformed into the shortest path problem. Combining with the actual problem,Dijkstra algorithm is selected as the algorithm for parking garage AGV path optimization. Finally,by using MATLAB software to solve the algorithm,the shortest path corresponding to the transportation vehicle robot to each free parking space is obtained,which improves the efficiency of AGV access vehicle and saves time. The result proves the feasibility and practicability of Dijkstra in the optimization of AGV access vehicle path.
引文
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