Identifying critical safety management drivers with high driver-level risks is essential for
traffic safety improvement. Previous studies commonly evaluated driver-level risks based …

Drivers who perform frequent high-risk events (eg, hard braking maneuvers) pose a
significant threat to traffic safety. Existing studies commonly estimated high-risk event …

Abstract The Forward Collision Warning (FCW) system has been widely equipped on
vehicles to reduce rear-end crashes, which are considered the most common type of crash …

The state of road surfaces can have a significant impact on vehicle handling, passenger
comfort, safety, fuel consumption, and maintenance requirements. For this reason, it is …

The risky driving behavior of hazmat truck drivers is a crucial factor in many severe traffic
accidents. In-vehicle Advanced Driving Assistance Systems (ADAS), integrating vehicle …

The difference between the desired trajectory of the drivers and the lane change trajectory of
autonomous vehicles is one of the crucial factors that limit their development. This paper …

Forward collision warning (FCW) systems have been widely used in trucks to alert drivers of
potential road situations so they can reduce the risk of crashes. Research on FCW use …

The Internet of Vehicles (IoV) emerges as a pivotal component for autonomous driving and
intelligent transportation systems (ITS), by enabling low-latency big data processing in a …

The personalization or customization of automated driving algorithms has attracted great
attention because of its potential in enhancing trust and acceptance. This is true for both …

传统安全距离模型主要依靠车辆间运动学关系建立, 且后车接收预警信号时的初始状态常被视为
匀速行驶, 导致模型精度不高, 普适性差, 影响前向碰撞预警系统可靠性. 针对以上问题 …