Distraction while driving occurs when a driver is engaged in non-driving activities. These activities reduce the driver’s attention and focus on road, therefore increasing risk of accidents. As consequence, number accidents increases infrastructure damaged. Cars are now equipped with different safety precautions that ensure awareness at all times. The first step for such systems to define wheth...

The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intelligent vehicle systems. Here we employ machine learning techniques to detect driver drowsiness. The system obtained 98% performance in predicting driver drowsiness. This is the highest prediction rate reported to date fo...

In today's life, everyone is in hurry to reach their destination as quickly as possible. So people intentionally or unintentionally take harsh driving events such as sudden acceleration, sudden turns or sudden brakes which further lead them to accidents or even loss of their lives. And it is a common belief that if a person behavior is being monitored, it would be relatively safer. To monitor d...

In this paper we examine the requirements for scenario control programming languages and consider approaches for designing textual-based scenario specification languages. By scenario programs, we mean the code that determines what objects are in the simulation environment and how object behaviors are coordinated to produce predictable experiences for the driver in a ground vehicle simulator. Sc...