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A technique for merging state and non-state linear referencing systems.

机译:合并状态和非状态线性参照系统的技术。

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摘要

The Wisconsin Department of Transportation (WisDOT) maintains two separate linear referencing systems (LRS) for managing state roads and local roads. The State Trunk Network (STN) only represents statewide routes such as interstates, state highways, and county highways. The Wisconsin Information System for Local Roads (WISLR) system includes all roads, but focuses on local roads. These systems are not related and some significant differences between the systems exist. Therefore, the focus of this project was to develop a technique to relate the two systems.;Merging STN and WISLR is advantageous because it allows the transfer of transportation data between the two systems. To move this data, a table, called the link_link table, was created that relates the two systems based on link IDs and lengths of links. Point data in STN (in the form of link IDs and offset distances) can be programmatically moved using the link_link table to create an equivalent table of WISLR link IDs and offset distances. The merge technique was implemented on a statewide scale. This thesis presents the link_link table design and coding methodology, quality checks for the link_link table, the results of moving data between the systems, and recommendations for future work related to this project.
机译:威斯康星州交通运输部(WisDOT)维护着两个单独的线性参考系统(LRS),用于管理州道和当地道路。州干线网络(STN)仅代表州际路线,例如州际公路,州高速公路和县高速公路。威斯康星州局部道路信息系统(WISLR)系统包括所有道路,但主要针对局部道路。这些系统不相关,并且系统之间存在一些重大差异。因此,该项目的重点是开发一种将两个系统关联的技术。STN和WISLR的合并是有利的,因为它允许在两个系统之间传输运输数据。为了移动该数据,创建了一个名为link_link表的表,该表根据链接ID和链接长度将两个系统关联起来。可以使用link_link表以编程方式移动STN中的点数据(以链接ID和偏移距离的形式),以创建WISLR链接ID和偏移距离的等效表。合并技术是在全州范围内实施的。本文介绍了link_link表的设计和编码方法,link_link表的质量检查,系统之间数据移动的结果以及与该项目有关的未来工作的建议。

著录项

  • 作者

    Ryals, Zachary Thomas.;

  • 作者单位

    The University of Alabama.;

  • 授予单位 The University of Alabama.;
  • 学科 Geodesy.;Transportation.;Engineering Civil.
  • 学位 M.S.
  • 年度 2011
  • 页码 159 p.
  • 总页数 159
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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