LAUSR

According to many studies, motor vehicle collisions lead to many deaths and disabilities, and bring about huge economic losses to societies and individuals around the world. If risky scenarios could be recognized and the driver could be timely warned, the frequency of traffic accidents could be reduced effectively, and traffic safety could be improved. This article summarizes the current state of the research on safety warnings under connected vehicle environments-from risk recognition algorithms, collision avoidance systems, dangerous event identification and notification methods, real-time safety warning system and effects of various types of warning information notifications. At the end of this article, the conclusions of this work are presented, and possible future directions for safety warning research under connected vehicle environments are discussed. This article represents the current research status of safety warnings under connected vehicle environments to some extent, which can provide references for future safety warning research in terms of framework, methods and technologies, etc.