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An evaluation of the reliability of GPS-based transportation data
Dalarna University, School of Technology and Business Studies, Microdata Analysis. (Microdata Analysis)ORCID iD: 0000-0002-7512-5321
Dalarna University, School of Technology and Business Studies, Microdata Analysis.ORCID iD: 0000-0003-2317-9157
Dalarna University, School of Technology and Business Studies, Microdata Analysis.ORCID iD: 0000-0003-4871-833X
2017 (English)In: Proceedings of IAC in Vienna 2017, 2017, p. 323-334, article id IAC201711035Conference paper, Published paper (Refereed)
Abstract [en]

GPS-based data are becoming a cornerstone for real-time transportation applications. Tracking data of vehicles from GPS receivers are however susceptible to measurement errors. The assessment of the reliability of data from GPS receiver is a neglected issue, especially in a real road network setting and in the phase after data transfer but before information identification. An evaluation method is outlined and carried out by conducting a randomized experiment. We assess the reliability of GPS-based transportation data on geographical position, speed, and elevation from three varied receivers GlobalSat BT-338X, Magellan SporTrak Pro and smart phone for three transportation modes: bicycle, car, and bus. The positional error ranging from 0158 meters, and 74% to 100% with an error within 5 meters depending on the transportation mode and route, there is also a non-negligible risk for aberrant positioning. Speed is slightly underestimated or overestimated with errors around 5km/h except for SporTrak Pro which had an error of -10 km/h. Elevation measurements are unreliable with errors bigger than 100 meters.

Place, publisher, year, edition, pages
2017. p. 323-334, article id IAC201711035
Keywords [en]
Transportation, GPS tracking, Reliability, Road network
National Category
Transport Systems and Logistics Geosciences, Multidisciplinary
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-26981ISBN: 978-80-88203-04-9 (print)OAI: oai:DiVA.org:du-26981DiVA, id: diva2:1177896
Conference
IAC (International Academic Conference on Transport, Logistics, Tourism and Sport Science) in Vienna November 24-25 2017
Available from: 2018-01-26 Created: 2018-01-26 Last updated: 2018-01-26Bibliographically approved

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CiteExportLink to record
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Citation style
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