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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Avineri, E., Prashker, J.N.: The impact of Travel Time Information on Traveler’s Learning under uncertatinty. Transportation 33(4), 393–408 (2006)
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)
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)
Bierlaire, M., Crittin, F.: New algorithmic approaches for the anticipatory route guidance generation problem. In: 1st Swiss Transportation Research Conference (2001)
Henn, V., Ottomanelli, M.: Handling uncertainty in route choice models: from probabilistic to possibilistic approaches. European Journal of Operational Research 175 (2006)
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)
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)
Cantarella, G.E., Cascetta, E.: Dynamic processes and equilibrium in transportation networks: toward a unifying theory. Transportation Science 29, 305–329 (1995)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)