Uncertainty in Traffic Forecasts
Literature Review and New Results for the Netherlands
Published Aug 23, 2005
Literature Review and New Results for the Netherlands
Published Aug 23, 2005
Although thousand of papers on transport model forecasts can be found in journals, conference proceedings and reports, the literature on quantifying uncertainty in traffic forecasts is fairly limited. In this report the authors present an overview of the literature on uncertainty in transport modelling. Furthermore they provide the outcomes of their analysis of uncertainty in traffic forecasts from the Dutch national model system (LMS) and the regional model (NRM) for the Dutch region of Noord-Brabant. Both the literature review and the case studies were part of a research project on quantifying uncertainty in traffic forecasts that RAND Europe carried out for the Transport Research Centre (AVV) of the Dutch Ministry of Transport, Public Works and Water Management. The objectives of this project were to develop a methodology to estimate the amount of uncertainty in forecasting for new infrastructure (especially roads) and to implement and test this methodology in two case-studies (using the LMS and the NRM respectively).
The research described in this report was conducted by RAND Europe for the Transport Research Centre of the Dutch Ministry of Transport, Public Works and Water Management.
This publication is part of the RAND working paper series. RAND working papers are intended to share researchers' latest findings and to solicit informal peer review. They have been approved for circulation by RAND but may not have been formally edited or peer reviewed.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.