Integration of Spatial Point Features with Linear Referencing Methods

Author:

Hallmark Shauna L.1,Schuman William G.2,Kadolph Steven W.2,Souleyrette Reginald3

Affiliation:

1. Department of Civil and Construction Engineering, Iowa State University, 402 Town Engineering, Ames, IA 50011

2. Iowa Department of Transportation, 800 Lincoln Way, Building 5, Ames, IA 50010

3. Center for Transportation Research and Education, 2901 South Loop Drive, Suite 3100, Ames, IA 50010

Abstract

The Global Positioning System (GPS) offers a cost-effective and accurate method for inputting, updating, and analyzing spatial data. However, many data-storage and reporting methods at state departments of transportation and other transportation agencies rely on linear referencing methods (LRMs) for managing transportation data. Consequently, GPS data must be able to coexist with linear referencing systems (LRSs). Unfortunately, the two systems are fundamentally different in the way they collect, integrate, and manipulate data. For spatial data collected with GPS to be integrated into an LRS or shared among LRMs, several issues must be addressed. Various issues are discussed for integrating point features from a typical inventory system with an LRM or between LRMs, including two- or three-dimensional GPS to one-dimensional LRM, linear offset error, lateral offset error, matching to the wrong segment, and locating points between LRMs.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development and attribution of a linear referencing system for managing and disseminating traffic volume data on rural highway networks;The Canadian Geographer / Le Géographe canadien;2021-07-28

2. Revamping Tribal Road Networks from Various Sources and Improving Quality;Transportation Research Record: Journal of the Transportation Research Board;2017-01

3. A Real Time Topological Map Matching Methodology for GPS/GIS-Based Travel Behavior Studies;Transportation Systems and Engineering;2015

4. Simulation-based approach for uncertainty assessment: Integrating GPS and GIS;Transportation Research Part C: Emerging Technologies;2013-11

5. A Real Time Topological Map Matching Methodology for GPS/GIS-Based Travel Behavior Studies;Advances in Data Mining and Database Management

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