Post-construction evaluation of traffic forecast accuracy
This research evaluates the accuracy of demand forecasts using a sample of recently-completed projects in Minnesota and identifies the factors influencing the inaccuracy in forecasts. Based on recent research on forecast accuracy, the inaccuracy of traffic forecasts is estimated as the difference between forecast traffic and actual traffic, standardized by the actual traffic. The analysis indicates a general trend of underestimation in roadway traffic forecasts with factors such as roadway type, functional classification and direction playing an influencing role. Roadways with higher volumes and higher functional classifications such as freeways are underestimated compared to lower volume roadways and lower functional classifications. The comparison of demographic forecasts shows a trend of overestimation while the comparison of travel behavior characteristics indicates a lack of incorporation of fundamental shifts and societal changes.
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Volume (Year): 17 (2010)
Issue (Month): 6 (November)
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- Noland, Robert B., 2001. "Relationships between highway capacity and induced vehicle travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 47-72, January.
- Kang-tsung Chang & Zaher Khatib & Yanmei Ou, 2002. "Effects of zoning structure and network detail on traffic demand modeling," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 29(1), pages 37-52, January.
- Flyvbjerg, Bent, 2005.
"Measuring inaccuracy in travel demand forecasting: methodological considerations regarding ramp up and sampling,"
Transportation Research Part A: Policy and Practice,
Elsevier, vol. 39(6), pages 522-530, July.
- Bent Flyvbjerg, 2013. "Measuring Inaccuracy in Travel Demand Forecasting: Methodological Considerations Regarding Ramp Up and Sampling," Papers 1303.7401, arXiv.org.
- Hugosson, Muriel Beser, 2005. "Quantifying uncertainties in a national forecasting model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(6), pages 531-547, July.
- Gerard Jong & Andrew Daly & Marits Pieters & Stephen Miller & Ronald Plasmeijer & Frank Hofman, 2007. "Uncertainty in traffic forecasts: literature review and new results for The Netherlands," Transportation, Springer, vol. 34(4), pages 375-395, July.
- Yong Zhao & Kara Maria Kockelman, 2002. "The propagation of uncertainty through travel demand models: An exploratory analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 36(1), pages 145-163.