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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Traffic Forecasting Accuracy Assessment Research. Washington, DC: The National Academies Press. doi: 10.17226/25637.
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Page 73
Page 74
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Traffic Forecasting Accuracy Assessment Research. Washington, DC: The National Academies Press. doi: 10.17226/25637.
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Page 74

Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

I-61 Atkins (2017). Post Opening Project Evaluation: A23 Handcross to Warninglid One Year After Study. Highways England. Cambridge Systematics, Inc. (2010). Travel Model Validation and Reasonability Checking Manual: Second Edition. Federal Highway Administration. CDM Smith, A. Horowitz, T. Creasey, R. Pendyala, and M. Chen (2014). NCHRP Report 765: Analytical Travel Forecasting Approaches for Project-Level Planning and Design. Transportation Research Board of the National Academies, Washington, D.C. Donnelly, R., G. D. Erhardt, R. Moeckel, and W. A. Davidson (2010). NCHRP Synthesis of Highway Practice 406: Advanced Practices in Travel Forecasting. Transportation Research Board of the National Academies, Washington, D.C. Flyvbjerg, B. (2007). “Policy and planning for large infrastructure projects: problems, causes, cures.” Environment and Planning B: Planning and Design, 34(4), 578–597. Flyvbjerg, B., M. K. S. Holm, and S. L. Buhl (2006). “Inaccuracy in Traffic Forecasts.” Transport Reviews, 26(1). Galileo Galilei (1638). Dialogues Concerning Two New Sciences. Macmillan, New York, NY. Gliebe, J., M. Bradley, N. Ferdous, M. Outwater, H. Lin, and J. Chen (2014). SHRP 2 Report S2-C10A-RW-2: Transferability of Activity-Based Model Parameters. Transportation Research Board of the National Academies, Washington, D.C. Highways England (2015). Post Opening Project Evaluation (POPE) of Major Schemes: Main Report. International Standards Organization (n.d.). Quality Management Principles. 20. Kim, Y., and J. M. Stanton (2016). “Institutional and individual factors affecting scientists’ data sharing behaviors: A multilevel analysis.” Journal of the Association for Information Science and Technology, 67(4), 776–799. Parthasarathi, P., and D. Levinson (2010). “Post-construction evaluation of traffic forecast accuracy.” Transport Policy, 17(6). Schiffer, R. G. (2012). NCHRP Report 735: Long-Distance and Rural Travel Transferable Parameters for Statewide Travel Forecasting Models. Transportation Research Board, Washington, D.C. Wachs, M. (1990). “Ethics and Advocacy in Forecasting for Public Policy.” Business and Professional Ethics Journal, 9(1 & 2), 141–157. References

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Accurate traffic forecasts for highway planning and design help ensure that public dollars are spent wisely. Forecasts inform discussions about whether, when, how, and where to invest public resources to manage traffic flow, widen and remodel existing facilities, and where to locate, align, and how to size new ones.

The TRB National Cooperative Highway Research Program's NCHRP Report 934: Traffic Forecasting Accuracy Assessment Research seeks to develop a process and methods by which to analyze and improve the accuracy, reliability, and utility of project-level traffic forecasts.

The report also includes tools for engineers and planners who are involved in generating traffic forecasts, including: Quantile Regression Models, a Traffic Accuracy Assessment, a Forecast Archive Annotated Outline, a Deep Dive Annotated Outline, and Deep Dive Assessment Tables,

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