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Title:

Mining GPS Data for Linear Referencing System Information

Accession Number:

01370307

Record Type:

Component

Abstract:

Many departments of transportation are in the process of creating or maintaining a linear referencing system for local roads. Due to the amount of features associated with a local road network, this process is expensive and time consuming. A technique that employs passively-collected, non-differentially corrected Global Positioning System (GPS) data to create and populate link and node information in a linear referencing system is presented. Starting with freely-available Topologically Integrated Geographic Encoding and Referencing (TIGER) data maintained by the U.S. Census Bureau, mined GPS data is used to generate link features, link lengths, link attributes, node locations, and even traffic control devices at intersections. The results indicate that TIGER lines are a valid starting point for the creation of a local road linear referencing system and that non-differentially corrected GPS data can be used to validate, populate, and maintain such a system.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ60 Geographic Information Science and Applications

Monograph Accession #:

01362476

Report/Paper Numbers:

12-2143

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Graettinger, Andrew J
Ryals, Zachary T
Andreson, Kenneth M

Pagination:

17p

Publication Date:

2012

Conference:

Transportation Research Board 91st Annual Meeting

Location: Washington DC, United States
Date: 2012-1-22 to 2012-1-26
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Photos; References; Tables

Subject Areas:

Data and Information Technology; Highways; I70: Traffic and Transport

Source Data:

Transportation Research Board Annual Meeting 2012 Paper #12-2143

Files:

TRIS, TRB

Created Date:

Feb 8 2012 5:08PM