Skip to main content

The Role of the Uncertainty in ATIS Applications

  • Conference paper
Applications of Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 52))

Summary

In recent years the interest toward ATIS (Advanced Traveller Information Systems) is constantly increasing, probably because of the intent of solving over-congestion with minimal expenditure. Great efforts have been devoted to both technological and modeling aspects; however, a unified theory does not yet exist, as well as a general agreement on the objectives that can be achieved. It is not widely recognised what can be expected from ATIS, how the information should be designed and how to assess/forecast the network level effects. Here the authors will present a theoretical framework and some practical analyses, aimed to deal with the additional uncertainties sometimes introduced in the route choice problem by the presence of ATIS.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Avineri, E., Prashker, J.N.: The impact of Travel Time Information on Traveler’s Learning under uncertatinty. Transportation 33(4), 393–408 (2006)

    Article  Google Scholar 

  2. Chen, P., Srinivasan, K., Mahmassani, H.S.: Effect of Information Quality on Compliance Behaviour of Commuters under Real-time Information. Transportation Research Record 1676, 53–60 (1999)

    Article  Google Scholar 

  3. Bottom, J., Ben-Akiva, M., Bierlaire, M., Chabini, I., Koutsopoulos, H.N.: Investigation of Route Guidance Generation Issues by Simulation with DynaMIT. In: 14th International Symposium on Transportation and Traffic Theory, Jerusalem (1999)

    Google Scholar 

  4. Bierlaire, M., Crittin, F.: New algorithmic approaches for the anticipatory route guidance generation problem. In: 1st Swiss Transportation Research Conference (2001)

    Google Scholar 

  5. Henn, V., Ottomanelli, M.: Handling uncertainty in route choice models: from probabilistic to possibilistic approaches. European Journal of Operational Research 175 (2006)

    Google Scholar 

  6. Dell’Orco, M., Kikuchi, S.: An alternative approach for choice models in transportation: use of possibility theory for comparison of utilities. Yugoslav Journal of Operations Research 14(1) (2004)

    Google Scholar 

  7. Yu, J.W., Peeta, S.: A Behavior-based Network Modeling Approach for Deployable Information Provision Strategies. In: TRB 2007 Annual Meeting Compendium of papers, CD-ROM (2007)

    Google Scholar 

  8. Cantarella, G.E., Cascetta, E.: Dynamic processes and equilibrium in transportation networks: toward a unifying theory. Transportation Science 29, 305–329 (1995)

    Article  MATH  Google Scholar 

  9. Bifulco, G.N., Simonelli, F.: The effect of ATIS on transportation systems: theoretical analysis and numerical applications. In: XI Urban Transport and the Environment for the 21st century, pp. 723–732 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bifulco, G.N., Simonelli, F., Di Pace, R. (2009). The Role of the Uncertainty in ATIS Applications. In: Avineri, E., Köppen, M., Dahal, K., Sunitiyoso, Y., Roy, R. (eds) Applications of Soft Computing. Advances in Soft Computing, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88079-0_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-88079-0_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88078-3

  • Online ISBN: 978-3-540-88079-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics