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原文传递 Improved Prediction Models for Crash Types and Crash Severities

题名：	Improved Prediction Models for Crash Types and Crash Severities
责任者：	National Academies of Sciences, Engineering, and Medicine; Transportation Research Board; National Cooperative Highway Research Program; John N. Ivan, Sha Al Mamun, Nalini Ravishanker, University of Connecticut; Bhagwant Persaud, Craig Lyon, Persaud and Lyon, Inc.; Raghavan Srinivasan, Bo Lan, Sarah Smith, Taha Saleem, University of North Carolina; Mohamed Abdel-Aty, Jaeyoung Lee, Ahmed Farid, Jung-Han Wang, University of Central Florida
关键词：	Transportation and Infrastructure — Highways Transportation and Infrastructure — Planning and Forecasting Transportation and Infrastructure — Safety and Human Factors
学科分类：	暂无分类
摘要：	The release of the Highway Safety Manual (HSM) by the American Association of State Highway and Transportation Officials (AASHTO) in 2010 was a landmark event in the practice of road safety analysis. Before it, the United States had no central repository for information about quantitative road safety analysis methodology. The TRB National Cooperative Highway Research Program'sNCHRP Web-Only Document 295: Improved Prediction Models for Crash Types and Crash Severities describes efforts to develop improved crash prediction methods for crash type and severity for the three facility types covered in the HSM—specifically, two‐lane rural highways, multilane rural highways, and urban/suburban arterials. Supplemental materials to the Web-Only Document include Appendices A, B, and C (Average Condition Models, Crash Severities – Ordered Probit Fractional Split Modeling Approach, and Draft Content for Highway Safety Manual, 2nd Edition).
出版机构：	Transportation Research Board
提交日期：	2021
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：	2021