Skip to main content

OLSIM: Inter-urban Traffic Information

  • Conference paper
Innovative Internet Community Systems (IICS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3473))

Included in the following conference series:

  • 751 Accesses

Abstract

Nowadays detailed and reliable information about current and future traffic states is a crucial requirement not only for each modern traffic control centre, but also for driver accessible traffic information applications. In this work the novel traffic information system OLSIM is presented that is based on three components. The first is a highly realistic traffic flow model with which all vehicles in a large scale network are simulated. The second component consists of efficient data processing and forecast algorithms that form heuristics from a large database that is fed every minute by traffic data of 4,000 inductive loop detectors across the road network. The third is a graphical user interface which can be accessed at www.autobahn.nrw.de . More than 200,000 users each day indicate the importance of such a system.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wahle, J., Chrobok, R., Pottmeier, A., Schreckenberg, M.: A Microscopic Simulator for Freeway Traffic. Network and Spatial Economics 2, 371–386 (2002)

    Article  Google Scholar 

  2. Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. J. Physique I. 2, 2221–2229 (1992)

    Article  Google Scholar 

  3. Barlovic, R., Santen, L., Schadschneider, A., Schreckenberg, M.: Metastable states in cellular automata for traffic flow. Eur. Phys. J. B 5, 793–800 (1998)

    Article  Google Scholar 

  4. Helbing, D.: Empirical traffic data and their implications for traffic modelling. Phys. Rev. E 28, R25–R28 (1996)

    Google Scholar 

  5. Hafstein, S.F., Chrobok, R., Pottmeier, A., Wahle, J., Schreckenberg, M.: Cellular Automaton Modeling of the Autobahn Traffic in North Rhine-Westphalia. In: Troch, I., Breitenecker, F. (eds.) Proc. of the 4th MATHMOD, Vienna, Austria, pp. 1322–1331 (2003)

    Google Scholar 

  6. Helbing, D., Herrmann, H.J., Schreckenberg, M., Wolf, D.E. (eds.): Traffic and Granular Flow 1999. Springer, Heidelberg (2000)

    MATH  Google Scholar 

  7. George, H.P.: Measurement and Evaluation of Traffic Congestion. Bureau of Highway Traffic, Yale University, pp. 43–68 (1961)

    Google Scholar 

  8. Miller, A.: A queuing model for road traffic flow. J. of the Royal Stat. Soc. B1, 23, University Tech. Rep. PB 246, Columbus, USA, pp. 69–75 (1961)

    Google Scholar 

  9. Highway Capacity Manual. HRB Spec. Rep. 87. U.S. Department of Commerce, Bureau of Public Road, Washington, D.C (1965)

    Google Scholar 

  10. Edie, L.C., Foot, R.S.: Traffic flow in tunnels. Proc. HRB 37, 334–344 (1958)

    Google Scholar 

  11. Pfefer, R.C.: New safety and service guides for sight distances. Transportation Engineering Journal of American Society of Civil Engineers 102, 683–697 (1976)

    Google Scholar 

  12. Knospe, W.: Synchronized traffic: Microscopic modeling and empirical observations. Ph.D. Thesis, University Duisburg-Essen, Germany (2002)

    Google Scholar 

  13. Nagel, K., Wolf, D.E., Wagner, P., Simon, P.: Two-lane traffic rules for cellular automata: A systematic approach. Phys. Rev. E 58, 1425–1437 (1998)

    Article  Google Scholar 

  14. Ahmed, S.A.: Stochastic Processes in Freeway Traffic. Transp. 19-21, 306–310 (1983)

    Google Scholar 

  15. Wild, D.: Short-term forecasting based on a transformation and classification of traffic volume time series. Int. J. of Forecasting 13, 63–72 (1997)

    Article  Google Scholar 

  16. van Iseghem, S., Danech-Pajouh, M.: Forecasting Traffic One or Two Days in Advance - An Intermodal Approach. Recherche Transports Securite 65, 79–97 (1999)

    Article  Google Scholar 

  17. Dougherty, M.S., Cobbett, M.R.: Short-term inter-urban traffic forecasts using neural networks. Int. J. of Forecasting 13, 21–31 (1997)

    Article  Google Scholar 

  18. Dia, H.: An object-oriented Neural Network Approach to Short-Term traffic forecasting. Euro. J. Op. Res. 131, 253–261 (2001)

    Article  MATH  Google Scholar 

  19. Whittaker, J., Garside, S., Lindveld, K.: Tracking and Predicting a Network Traffic Process. Int. J. of Forecasting 13, 51–61 (1997)

    Article  Google Scholar 

  20. Nair, A.S., Liu, J.-C., Rilett, L., Gupta, S.: Non-Linear Analysis of Traffic Flow. In: Stone, B., Conroy, P., Broggi, A. (eds.) Proc. of the 4th International IEEE Conference on Intelligent Transportation Systems, Oakland, USA, pp. 683–687 (2001)

    Google Scholar 

  21. Kirby, H.R., Watson, S.M., Dougherty, M.S.: Should we use neural networks or statistical models for short-term mororway traffic forecasting? Int. J. of Forecasting 13, 43–50 (1997)

    Article  Google Scholar 

  22. Danech-Pajouh, M., Aron, M.: ATHENA: a method for short-term inter-urban motorway traffic forecasting. Recherche Transports Sécurité - English issue 6, 11–16 (1991)

    Google Scholar 

  23. Chrobok, R., Kaumann, O., Wahle, J., Schreckenberg, M.: Different methods of traffic forecast based on real data. Euro. J. Op. Res. 155, 558–568 (2004)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Weber, D., Chrobok, R., Hafstein, S., Mazur, F., Pottmeier, A., Schreckenberg, M. (2006). OLSIM: Inter-urban Traffic Information. In: Böhme, T., Larios Rosillo, V.M., Unger, H., Unger, H. (eds) Innovative Internet Community Systems. IICS 2004. Lecture Notes in Computer Science, vol 3473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553762_27

Download citation

  • DOI: https://doi.org/10.1007/11553762_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28880-0

  • Online ISBN: 978-3-540-33995-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics