详情

Incorporating Driver Behavior and Characteristics into Safety Prediction Methods

项目名称：	Incorporating Driver Behavior and Characteristics into Safety Prediction Methods
摘要：	Driver behavior and characteristics represent some of the most influential contributing factors to traffic crashes. However, current safety analysis tools primarily incorporate infrastructure-related factors affecting crashes. This creates a problem for those considering safety applications since some of the most important factors are not included. This could lead to safety solutions that may not work as well as intended. In the Highway Safety Manual (HSM), the measures of driver characteristics are divided into several categories such as attention and information processing, vision, perception-reaction time, and speed choice. Police officers usually report driver characteristics such as gender, age, speeding, blood alcohol content, seat belt use, and distracted driving. While several studies have evaluated the impact of these factors on crash severity, there is a need to incorporate these factors in widely implemented crash prediction methods to achieve a better picture of the true potential effects on crash severity and frequency for decisions in planning, design, and operations. Research is needed to develop a methodology to incorporate a wide variety of factors related to driver behavior and characteristics into crash prediction methods to allow for a more comprehensive assessment of existing and expected safety performance, for use in design and operational decision-making, and incorporation into the HSM and other safety tools and guidelines. The objective of this research is to develop a methodology to incorporate driver characteristics and behavior into safety prediction methods that can be used to estimate the expected crash frequency and severity related to infrastructure features for use in planning, design, and operational decisions. The predictive method(s) shall be suitable for inclusion as part of the HSM as a tool to quantify safety performance across modes.
状态：	Active
资金：	600000
资助组织：	National Cooperative Highway Research Program<==>Federal Highway Administration<==>American Association of State Highway and Transportation Officials (AASHTO)
项目负责人：	Retting, Richard
执行机构：	University of North Carolina, Chapel Hill
开始时间：	20200901
预计完成日期：	20230301
主题领域：	Highways；Planning and Forecasting；Safety and Human Factors