Optimal haulage routing of off-road dump trucks in construction and mining sites using Google Earth and a modified least-cost path algorithm
Optimal haulage routing of off-road dump trucks in construction and mining sites using Google Earth and a modified least-cost path algorithm
复制标题
DOI：
10.1016/j.autcon.2011.03.015
复制
发表时间：
2011-11-01
影响因子：
10.3
通讯作者：
Nieto, Antonio
中科院分区：
文献类型：
--
作者：
Choi, Yosoon;Nieto, Antonio
这项研究提出了一种新的软件，称为基于谷歌地球的最佳运输路线系统（GEOHARTS），以改善谷歌地球的功能，为建筑和采矿工地的越野自卸卡车的最佳运输路线。提出了一种改进的最小费用路径算法，该算法适用于有铺设和未铺设临时道路的作业区，并能考虑地形起伏和沿着路线的曲线对路线规划的影响，并用于软件开发。GEOHARTS可以确定装载机和自卸车之间的最佳运输路线，确保越野自卸车的行驶时间或燃料消耗最少，并可以使用Google Earth的嵌入式3D渲染窗口可视化结果。在印尼Pasir露天煤矿的应用表明，GEOHARTS可以为卡车运输作业提供合理的解决方案。(C)2011 Elsevier B.V.保留所有权利。
This study presents new software, called Google Earth-based Optimal HAulage RouTing System (GEOHARTS), to improve the functionality of Google Earth for optimal haulage routing of off-road dump trucks in construction and mining sites. A modified least-cost path algorithm, which is applicable to working areas with both paved and unpaved temporary roads and can consider the effects of terrain relief and curves along a route on the route planning, was proposed and utilized for the software development. GEOHARTS can determine optimal haulage routes between loaders and dumps that ensure the least travel time or fuel consumption of off-road dump trucks and can visualize the results using an embedded 3D render window of Google Earth. The application to the Pasir open-pit coal mine in Indonesia demonstrates that GEOHARTS could provide a rational solution to support the truck haulage operations. (C) 2011 Elsevier B.V. All rights reserved.