Background Pedestrians struck in motorised vehicle crashes constitute the largest group of
traffic fatalities worldwide. Excessive speed is the primary contributory factor in such …

The existing studies on drivers' injury severity include numerous statistical models that
assess potential factors affecting the level of injury. These models should address specific …

If automated vehicles (AVs) are to move efficiently through the traffic environment, there is a
need for them to interact and communicate with other road users in a comprehensible and …

This study introduces a machine learning model for near-crash prediction from observed
vehicle kinematics data. The main hypothesis is that vehicles tend to experience discernible …

Older drivers are known to make significantly fewer glances toward hazards that are hidden
from view (latent hazards) than middle-aged drivers. This is especially true when the driver …

This study employs a mixed logit model approach to evaluate contributing factors that
significantly affect the severity of head-on crashes. The head-on crash data are collected …

Objective: Pedestrian safety is considered as one of the greatest concerns, especially for
developing countries. In the year of 2015, about 48% pedestrian accidents with 56 …

为了研究影响路段摩托车单车碰撞事故严重程度的因素, 以美国印第安纳州2013—2015 年1
526 起路段单车事故为研究对象, 考虑驾驶员特征, 车辆属性, 道路条件, 环境及事故特征5 …

This paper describes the collection and statistical analysis of accident counts and
intersection layout geometries at a range of signal-controlled intersections, with the aim of …

交通事故的严重程度反映出交通安全程度, 尤其是发生在交叉路口的事故, 因此有必要找出影响
事故严重程度的因素, 以便相关部门或驾驶员采取有效措施, 避免事故的发生 …