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Uncertainty in traffic forecasts: literature review and new results for The Netherlands
Authors:Gerard de Jong  Andrew Daly  Marits Pieters  Stephen Miller  Ronald Plasmeijer  Frank Hofman
Institution:(1) RAND Europe, Newtonweg, 12333 CP Leiden, The Netherlands;(2) Institute for Transport Studies, University of Leeds, Leeds, UK;(3) Dutch Ministry of Transport, Public Works and Water Management, Transport Research Centre (AVV), Rotterdam, The Netherlands
Abstract:This paper provides a review of transport model applications that not only provide a central traffic forecast (or forecasts for a few scenarios), but also quantify the uncertainty in the traffic forecasts in the form of a confidence interval or related measures. Both uncertainty that results from using uncertain inputs (e.g. on income) and uncertainty in the model itself are treated. The paper goes on to describe the methods used and the results obtained for a case study in quantifying uncertainty in traffic forecasts in The Netherlands.
Contact Information Gerard de JongEmail:
Keywords:Traffic forecasts  Travel demand  Uncertainty  Confidence interval  Simulation
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