Abstract
In order to assess the performances of information systems to road users and of demand management measures, it is necessary to simulate dynamics of traffic flows on the transport network and users’ behaviour. This can be accomplished by taking into account several aspects such as users’ information level, travel demand distribution over time and the expected smoothing effect of adopted measures and information systems. A computational procedure to perform this assessment for various traffic scenarios and hypotheses about users’ behaviour is presented in this paper. Moreover, the indicators needed to quantify information systems and demand management effectiveness are identified together with parameters defining traffic scenarios. The results of an application of the procedure as a deterministic simulation tool are also presented and discussed.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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
Bonsall P., Bell M., 1987, “Information technology applications in transport”, VNU Science Press.
Bielli M., 1990, “Characteristics and requirements of trip planning systems”, Preprints of Prometheus Conference, London.
Blum Y., Van Aerde M., 1988, “Comprehensive approach to invehióle route guidance using Q-route”, Transportation Research Record 1232, TRB Washington.
Robb C.M., 1987, “Route Information Systems for Motorists”, Transport Review, vol.7, n.3, pp. 259–275.
Hills P., Thorpe N., 1991, “Traffic demand management in urban areas - The role of road pricing”, Proceedings of DRIVE Conference, Bruxelles, pp.658–664, Elsevier.
Arnott R., A. de Palma, R. Lindsey, 1991, “Does providing information to drivers reduce traffic congestion?”, Transpn. Res. A, vol. 25A n.5 pp.309–318.
Mahmassani H.S., Chang G.L., 1986, “Experiments with departure time choice dynamics of urban commuters”, Transpn. Res. B, Vol. 20B, n. 4, pp. 297–320.
Mahmassani H.S., Chang G.L., 1988, “Travel time Prediction and Departure Time Adjustment behaviour Dynamics in a Congested Traffic System”, Transp. Res. B, Vol. 22B, pp. 217–232.
Shirazi E., Anderson S., Stesney J., 1988, “Commuter’s attitude toward traffic information systems and route diversion”, Transp. Res. Rec. 1168, TRB, Washington.
Mannering F.L., Hamed M.M., 1990 “Occurence, frequency and duration of commuter’s work-to-home departure delay”, Transpn. Res. B, Vol 24B, n.2, 99–109.
Hamerslag R., 1989, “Dynamic assignment in three-dimensional time space”, Transportation Research Record 1220, TRB-USA.
Janson B.N., 1991, “Dynamic Traffic Assignment for Urban Road Networks” Transp. Res. 25B pp. 143–161.
Bellei G, Bielli M., 1990, “Dynamic assignment for trip planning 309 systems assessment” Proceedings of the ANIPLA Congress on Automation of Transport Systems, Trieste, 520–542.
Cascetta E., Cantarella G.E., 1991, “A day-to-day and within-day dynamic stochastic assignment model”, Transpn. Res. A, vol.25A, n.5, pp77–291.
Dehoux, Toint L., “Some comments on dynamic traffic modelling in the presence of advanced driver information systems”, Proceedings of DRIVE Conference, Bruxelles, pp.964–980 Elsevier.
Vythoulkas P.K., 1990, “A dynamic stochastic assignment model for the analysis of general networks”, Transpn. Res. B, vol.24B, n.6, pp.453–469.
Wie B.W., 1991, “Traffic assignment, Dynamic” in Concise Encyclopedia of Traffic and Transportation Systems, pp. 521–524, Papageorgiou M. Editor, Pergamon Press.
Ben-Akiva M.,Cyna M., de Palma A., 1984, “Dynamic model of peak period congestion”, Transpn Res B, Vol. 18B, n.4/5, pp 339–355.
Ford L.R., D.R. Fulkerson, 1962, “Flows in Networks”, Princeton University Press.
Drissi-Kaitouni O., A. Hameda-Benchekroun, 1992, “A Dynamic Traffic Assignment Model and a Solution Algorithm” Transportation Science, 26, pp. 119–128.
Sheffi Y., 1985, “Urban Transportation Networks”, Prentice Hall.
Gallo G., Pallottino S., 1988, “Shortest path algorithms”, Annals of Operations Research, vol.13, pp 3–79, Baltzer AG.
Aronson J.E., 1989, “A survey of dynamic network flows”, Annals of Operations Research, vol.20, pp 1–66, Baltzer AG.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin · Heidelberg
About this paper
Cite this paper
Bellei, G., Bielli, M. (1995). Sensitivity Analysis of a Dynamic Equilibrium Model for Route and Arrival Time Choice. In: Gartner, N.H., Improta, G. (eds) Urban Traffic Networks. Transportation Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79641-8_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-79641-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-79643-2
Online ISBN: 978-3-642-79641-8
eBook Packages: Springer Book Archive