Skip to main content

The Offline Map Matching Problem and its Efficient Solution

  • Conference paper
  • First Online:
Innovations for Community Services (I4CS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 648))

Included in the following conference series:

Abstract

In this paper we present an efficient solution to the offline map matching problem that occurs in the area of position measurements on a road network: given a set of measured positions, what was the most probable trip that led to these measurements? For this, we assume a user who moves according a certain degree of optimality across a road network. A solution has to face certain problems; most important: as a single measurement may be mapped to multiple positions on the road network, the total number of combination exceeds any reasonable limit.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bertsimas, D., Tsitsiklis, J.: Simulated Annealing. Stat. Sci. 8(1), 10–15 (1993)

    Article  MATH  Google Scholar 

  2. Haunert, J.H., Budig, B.: An algorithm for map matching given incomplete road data. In: Proceedings of the 20th International Conference on Advances in Geographic Information Systems, pp. 510–513 (2012)

    Google Scholar 

  3. Marchal, F., Hackney, J., Axhausen, K.W.: Efficient map-matching of large GPS data sets – tests on a speed monitoring experiment in Zurich. J. Transp. Res. Board 2005, 93–100 (1935). Transportation Research Re-cord

    Google Scholar 

  4. Pereira, F.C., Costa, H., Pereira, N.M.: An off-line map-matching algorithm for incomplete map databases. Eur. Transp. Res. Rev. 1(3), 107–124 (2009)

    Article  Google Scholar 

  5. Roth, J.: Combining symbolic and spatial exploratory search – the homerun explorer. In: Innovative Internet Computing Systems (I2CS), Hagen, June 19–21 2013, Fortschritt-Berichte VDI, Reihe 10, Nr. 826, pp. 94–108 (2013)

    Google Scholar 

  6. Roth, J.: Predicting route targets based on optimality considerations. In: International Conference on Innovations for Community Services (I4CS), Reims (France) 4–6 June, 2014, pp. 61–68. IEEE xplore (2014)

    Google Scholar 

  7. Roth, J.: Generating meaningful location descriptions. In: International Conference on Innovations for Community Services (I4CS), July 8–10, 2015, Nuremberg (Germany), pp. 30–37. IEEE xplore (2015)

    Google Scholar 

  8. Roth, J.: Efficient many-to-many path planning and the traveling salesman problem on road networks. In: KES Journal: Innovation in Knowledge-Based and Intelligent Engineering Systems, to appear (2016)

    Google Scholar 

  9. Schuessler, N., Axhausen, K. W.: Map-matching of GPS traces on high-resolution navigation networks using the Multiple Hypothesis Technique (MHT), Working Paper 568, Institute for Transport Planning and System (IVT), ETH Zurich (2009)

    Google Scholar 

  10. Viterbi, A.: Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Trans. Inf. Theory 13(2), 260–269 (1967)

    Article  MATH  Google Scholar 

  11. White, C.E., Bernstein, D., Kornhauser, A.: Some map matching algorithms for personal navigation assistants. Transp. Res. Part C Emerg. Technol. 8, 91–108 (2000)

    Article  Google Scholar 

  12. Yanagisawa, H.: An offline map matching via integer programming. In: 2010 Proceedings of the 20th International Conference on Pattern Recognition (ICPR), pp. 4206–4209. IEEE (2010)

    Google Scholar 

  13. Zhou, J., Golledge, R.: A three-step general map matching method in the GIS environment: travel/transportation study perspective. Int. J. Geogr. Inf. Syst. 8(3), 243–260 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jörg Roth .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Roth, J. (2016). The Offline Map Matching Problem and its Efficient Solution. In: Fahrnberger, G., Eichler, G., Erfurth, C. (eds) Innovations for Community Services. I4CS 2016. Communications in Computer and Information Science, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-49466-1_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-49466-1_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49465-4

  • Online ISBN: 978-3-319-49466-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics