首页> 外文期刊>Canadian Journal of Forest Research >Projecting vector-based road networks with a shortest path algorithm
【24h】

Projecting vector-based road networks with a shortest path algorithm

机译:用最短路径算法投影基于矢量的道路网络

获取原文
获取原文并翻译 | 示例
       

摘要

Manually designing road networks for planning purposes is labour-intensive. As an alternative, we have developed a computer algorithm to generate road networks under a variety of assumptions related to road design standards. This method does not create an optimized road network, but rather mimics the procedure a professional might use when projecting roads by hand. Because many feasible road networks are possible, sensitivity analysis is required to choose the best ones. Such analysis gives forest planners additional information with which to assess the long-term consequences of road density and road standards common in forest management decisions. The procedures used to create road networks are presented in this paper, along with a sensitivity analysis of assumptions on total network length, percentage of landings connected, grades, and horizontal and vertical alignment for a case study. We also include a sensitivity analysis of spatial detail such as node density and link characteristics. Although the road network generation algorithm requires manipulation of many input parameters to create desired road networks, and variation between outputs is a concern, the method still offers considerable improvement over manual methods, especially for applications in strategic planning, and appears to be suitable for all types of topography and road standards.
机译:出于规划目的而手动设计道路网络是劳动密集型的。作为替代方案,我们已经开发了一种计算机算法,可以在与道路设计标准有关的各种假设下生成道路网络。该方法不会创建优化的道路网络,而是模仿专业人员在手动投影道路时可能使用的过程。由于可能有许多可行的道路网络,因此需要进行敏感性分析以选择最佳道路网络。这种分析为森林规划者提供了更多信息,可用来评估森林管理决策中常见的道路密度和道路标准的长期后果。本文介绍了用于创建道路网络的程序,并针对案例研究对总网络长度,连接的着陆百分比,坡度以及水平和垂直路线的假设进行了敏感性分析。我们还包括对空间细节(例如节点密度和链接特征)的敏感性分析。尽管道路网络生成算法需要操纵许多输入参数来创建所需的道路网络,并且输出之间的变化是一个问题,但该方法仍相对于手动方法提供了相当大的改进,特别是对于战略规划中的应用而言,似乎适用于所有地形类型和道路标准。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号