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原文传递 Traffic Forecasting Accuracy Assessment Research

题名：	Traffic Forecasting Accuracy Assessment Research
责任者：	National Academies of Sciences, Engineering, and Medicine; Transportation Research Board; National Cooperative Highway Research Program; Gregory D. Erhardt, Jawad Hoque, Mei Chen, Reginald Souleyrette, University of Kentucky; David Schmitt, Ankita Chaudhary, Sujith Rapolu, Kyeongsu Kim, Connetics Transportation Group; Jacobs Stephen Weller; UrbanLabs Elizabeth Sall; Martin Wachs
关键词：	Transportation and Infrastructure ； Data and Information Technology Transportation and Infrastructure ； Highways Transportation and Infrastructure ； Operations and Traffic Management Transportation and Infrastructure ； Planning and Forecasting
学科分类：	交通工程
摘要：	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,
出版机构：	Transportation Research Board
参考文献：	National Academies of Sciences, Engineering, and Medicine. 2020. Traffic Forecasting Accuracy Assessment Research. Washington, DC: The National Academies Press. https://doi.org/10.17226/25637.
总页数：	307
报告类型：	科技报告
资源类型：	科技（咨询、行业）报告
初始创建时间：	2020