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Potential of Crowdsourced Traces for Detecting Updates in Authoritative Geographic Data

  • Stefan S. Ivanovic
  • Ana-Maria Olteanu-RaimondEmail author
  • Sébastien Mustière
  • Thomas Devogele
Conference paper
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

Crowdsourced traces collected by GPS devices during sports activities are now widely available on different websites. The goal of this paper is to study the potential of crowdsourced traces coming from GPS devices to highlight updates in authoritative geographic data. To reach this goal, an approach based on two steps is proposed. First, a data matching method is applied to match authoritative data and crowdsourced traces. Second, for the non-matched crowdsourced segments composing a trace, different criteria are defined to decide if whether or not, non-matched segments should be considered as an alert for update in authoritative data. The proposed approach is tested on crowdsourced traces and on BDTOPO® authoritative road and path network in mountain area. The results are promising: 727, 1 km of missing paths were found in the test area, which corresponds to 7.7% of the total length of used traces. The discovered missing paths also represent a contribution of 2.4% of the total length of BDTopo® road and path network in the test area.

Keywords

Data matching Crowdsourced GPS traces Detection of updates Authoritative geographic data Decision making 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Stefan S. Ivanovic
    • 1
  • Ana-Maria Olteanu-Raimond
    • 1
    Email author
  • Sébastien Mustière
    • 1
  • Thomas Devogele
    • 2
  1. 1.University of Paris-Est, LASTIG MEIG, IGN, ENSGSaint-MandéFrance
  2. 2.Université François Rabelais de ToursToursFrance

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