Improved Pathfinding Algorithm for the Rescue of Large Oil File
CSTR:
Author:
  • Article
  • | |
  • Metrics
  • |
  • Reference [20]
  • |
  • Related
  • |
  • Cited by
  • | |
  • Comments
    Abstract:

    The large oil depot map is different from city and mountainous region whose maps are complex. The map of large oil depot is very regular, oil tanks and other buildings arranged neatly and the roads of the oil tank area are straight. On the basis, the classic A* algorithm is improved in this paper. On the one hand, according to the characteristics that the map of oil depot is simple and the number of search nodes is relatively small, the data structure of the Open table in the A* algorithm is improved, to accelerate the search speed and the ranking algorithm is used to improve the search efficiency. On the other hand, because roads in the oil depot are straight, so we divide roads into two parts: roads with obstacles and barrier free roads, to improve the search efficiency. Experimental results show that, with the combination of the two improved methods, the time of searching roads is declined definitely by 6.86%.

    Reference
    1 张海涛,程荫杭.基于A*算法的全局路径搜索.微计算机信息,2007,204(17):238-239,308.
    2 Cao W. Application of an improved A* algorithm in route planning. Proc. of WRI Global Congress on Intelligent Systems(GCIS'09). 2009. 253-257.
    3 Qi MJ, Sun HN, Gao GF. Research on an improved algorithm for shortest path searching in urban traffic based on GIS. Proc. of Electrical and Control Engineering International Conference. 2011. 1184-1187.
    4 Eriksson G, Kitok A. Automatic loading and dumping using vehicle guidance in a Swedish mine. Proc. of the First International Symposium on Mine Mechanization and Automation. 1991,6. 15-33-15-44.
    5 贾庆轩,陈钢,孙汉旭,郑双奇.基于A~*算法的空间机械臂避障路径规划.机械工程学报,2010,46(13):109-115.
    6 刘浩,鲍远律.A*算法在矢量地图最优路径搜索中的应用. 计算机仿真,2008,(4):253-257.
    7 李志建,郑新奇,王淑晴,杨鑫.改进A~*算法及其在GIS路径搜索中的应用.系统仿真学报,2009,21(10):3116-3119.
    8 熊壬浩, 刘羽.A* 算法的改进及并行化. 计算机应用, 2015,35(7):1843-1848.
    9 顾青,豆风铅,马飞.基于改进A*算法的电动车能耗最优路径规划.农业机械学报,2015,46(12):316-322.
    10 张仁平,周庆忠,熊伟,王红旗.A~*算法改进算法及其应用. 计算机系统应用,2009,18(9):98-100,107.
    11 陈刚,付少锋,周利华.A~*算法在游戏地图寻径中的几种改进策略研究.科学技术与工程,2007,7(15):3731-3736.
    12 张前哨.基于A*算法的地图寻径的研究[硕士学位论文]. 武汉:武汉科技大学,2005.
    13 马飞,杨皞屾,顾青,孟宇.基于改进A*算法的地下无人铲运机导航路径规划.农业机械学报,2015,46(7):303-309.
    14 王殿君.基于改进A~*算法的室内移动机器人路径规划.清华大学学报(自然科学版),2012,(8):1085-1089.
    15 张静,万书亭,陈海宏.基于改进路网分层和A~*算法的最优路径研究.华北电力大学学报(自然科学版),2012,39(5): 12-16.
    16 任波,周焘,于雷.基于改进A~*算法的飞行器三维航迹规划算法.系统工程与电子技术,2008,30(2):324-326.
    17 高庆吉,于咏生,胡丹丹.基于改进A*算法的可行性路径搜索及优化.中国民航学院学报,2005,23(4):42-45.
    18 单伟,孟正大.基于改进A~*算法的平滑路径设计.东南大学学报(自然科学版),2010,(S1):155-161.
    19 钱红昇,葛文锋,钟鸣,葛铭.基于分层的改进*算法在路径规划中的应用.计算机工程与应用,2014,50(7):225-229.
    20 周小镜.基于改进A*算法的游戏地图寻径的研究[硕士学位论文].重庆:西南大学,2011.
    Related
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

李克文,朱虹吉.大型油库消防救援寻路算法改进.计算机系统应用,2017,26(5):139-144

Copy
Share
Article Metrics
  • Abstract:1056
  • PDF: 2094
  • HTML: 0
  • Cited by: 0
History
  • Received:August 08,2016
  • Revised:October 10,2016
  • Online: May 13,2017
Article QR Code
You are the first990528Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063