GeoInformatica

, Volume 19, Issue 3, pp 601–632 | Cite as

A comparison and evaluation of map construction algorithms using vehicle tracking data

  • Mahmuda Ahmed
  • Sophia Karagiorgou
  • Dieter Pfoser
  • Carola Wenk
Article

Abstract

Map construction methods automatically produce and/or update street map datasets using vehicle tracking data. Enabled by the ubiquitous generation of geo-referenced tracking data, there has been a recent surge in map construction algorithms coming from different computer science domains. A cross-comparison of the various algorithms is still very rare, since (i) algorithms and constructed maps are generally not publicly available and (ii) there is no standard approach to assess the result quality, given the lack of benchmark data and quantitative evaluation methods. This work represents a first comprehensive attempt to benchmark such map construction algorithms. We provide an evaluation and comparison of seven algorithms using four datasets and four different evaluation measures. In addition to this comprehensive comparison, we make our datasets, source code of map construction algorithms and evaluation measures publicly available on http://mapconstruction.org.. This site has been established as a repository for map construction data and algorithms and we invite other researchers to contribute by uploading code and benchmark data supporting their contributions to map construction algorithms.

Keywords

Tracking data Map construction Quality measures Algorithms Performance 

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Mahmuda Ahmed
    • 1
  • Sophia Karagiorgou
    • 2
  • Dieter Pfoser
    • 3
  • Carola Wenk
    • 4
  1. 1.University of Texas at San AntonioSan AntonioUSA
  2. 2.National Technical University of AthensAthensGreece
  3. 3.George Mason UniversityFairfaxUSA
  4. 4.Tulane UniversityNew OrleansUSA

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