There will be a time when automated vehicles coexist with human-driven ones.
Understanding how drivers assess driving risks and modeling their differences is crucial for …

Vehicular collision often leads to serious casualties and traffic congestion, and the
consequences are worse for multiple-vehicle collision. Many previous works on collision …

Proper estimation of driver perceived risk is the key to designing human-like planning and
control algorithms for autonomous vehicles to generate human-like behaviors and gain …

Recent years have witnessed the proliferation of traffic accidents, which led wide researches
on automated vehicle (AV) technologies to reduce vehicle accidents, especially on risk …

行车风险受人, 车, 路多类时变因素的耦合影响, 如何对其进行准确量化一直是制约汽车智能安全
技术发展的难题. 提出考虑驾驶人行为特性的行车风险量化新方法并介绍对应的行车风险防控 …

The underlying weaknesses of crash data have led to the shift of traffic safety analysis from
reactive to proactive approaches. Using conflicts/near-crashes as crash surrogates is the …

There will be a long time when automated vehicles are mixed with human-driven vehicles.
Understanding how drivers assess driving risks and modelling their individual differences …

Accurately quantifying the integrated influence of diverse, time-varying factors associated
with drivers, vehicles, and road conditions on driving risk has persistently presented a …

Properly estimating driving risks is crucial for autonomous vehicles to exhibit human-
acceptable behaviors beyond collision avoidance. However, there is no measure that can …

Uniform for cars, smartphones, Road Side Units and Traffic Management Centers European
Cooperative ITS (C-ITS) Architecture model opens the road to integrated design of mobility …