Naturalistic Investigation of Contributing Factors by Crash Type

Project Description In this project we intend to analyze the role that a variety of contributing factors play in crash risk across crash types to determine whether significant interactions exist. We will compare the interplay between factors (such as specific driver behaviors) and crash type (such as rear-end or backing crashes) using logistic regression, factor/component analysis, and/or nonparametric methods. Data Request Scope In order to effectively analyze the relative risk of a variety of contributing cash factors, we request previously-reduced and kinematic data for all crashes of level 1 - 3 in the SHRP2 dataset, along with baselines. Data Specification Participant ID Event ID Age group Site (six states) Gender Incident type 1 2 Traffic density Surface condition Infrastructure Visual obstruction Traffic flow Traffic control Relation to junctoin Intersection influence Alignment Grade Locality Construction zone Weather Lighting Event severity 1 Event severity 2 Crash severity 1 Crash severity 2 At fault status Secondary task 1 Secondary task 2 Secondary task 3 Driver behavior 1 Driver behavior 2 Driver behavior 3 Driver impairment

项目描述：本项目旨在分析各类影响因素在不同碰撞类型的碰撞风险中所发挥的作用，以判定是否存在显著的交互效应。我们将采用逻辑回归、因子/分量分析以及非参数方法，对比各类影响因素（如特定驾驶行为）与碰撞类型（如追尾或倒车碰撞）之间的交互关系。
数据申请范围：为有效分析各类碰撞影响因素的相对风险，我们申请获取SHRP2数据集（SHRP2）中等级1至3的所有碰撞事件的预处理精简运动学数据及基准数据。
数据规格说明：参与者ID、事件ID、年龄分组、事发地点（涵盖六个州）、性别、事故类型1、事故类型2、交通密度、路面状况、基础设施、视觉障碍物、交通流量、交通管控措施、与交叉口的相对位置、交叉口影响、道路线形、道路坡度、区域属性、施工区域、天气状况、照明情况、事件严重程度1、事件严重程度2、碰撞严重程度1、碰撞严重程度2、过错方认定、副任务1、副任务2、副任务3、驾驶行为1、驾驶行为2、驾驶行为3、驾驶能力受损。