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Title:

Evaluation of Vehicle Positioning Accuracy by Using GPS-Enabled Smartphones

Accession Number:

01517496

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Global Positioning Systems (GPS) has emerged as the leading technology to provide location information to various location-based services. With an increasing smartphone penetration rate, as well as expanding spatial and network coverage, the idea of combining GPS positioning functions with smartphone platforms to perform GPS-enabled smartphone-based traffic data monitoring is promising, and has recently attracted much research attention. The high penetration rate of smartphones incorporated with the high location accuracy of GPS receivers will provide better estimation of locations and traffic conditions and states. This study presents a field experiment conducted along Whitemud Drive (a section of a connected vehicle test bed in Edmonton, Alberta, Canada) using a GPS-enabled smartphone, cellular positioning technique, professional GPS handset and combination of smartphones and Geo-fences. The relative positioning errors between the devices were estimated through experimental design, and evaluated in three scenarios. The results suggest that GPS-enabled smartphones are capable of correctly positioning nearly 100% of the roadway segments to Google Earth, while achieving accuracy of within or less than 5 meters for 95% of the data. Using a cellular positioning technique, cell-IDs were correctly identified in repeatable trials with accuracy levels much lower than the smartphone-GPS positioning. Using a combination of smartphone positioning and Geo-fences is promising in finding accurate positions and timestamps. In all scenarios, the use of four data sources for obtaining locations and traffic data is feasible; and particularly, using GPS-enabled smartphones and/or its combination with Geo-fences can provide better location accuracy.

Supplemental Notes:

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

Monograph Accession #:

01503729

Report/Paper Numbers:

14-1551

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Yin, Elena
Li, Pengfei
Fang, Jie
Qiu, Tony Z.

Pagination:

17p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-1551

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 2:34PM