Across my research, I found several applications based on driver behaviour, every application is a small piece of information that can feed systems management such as ITS, the driving events are collected but depending on the application is used different techniques to process the data. Real-time data collection and automatic response are the keys to every application, For example, intelligent vehicular systems aim to control automatic reactions such as how humans reacted to certain events, Tesla and other companies work hard in this area.

 

Accident detection is another broad area of research that aims for automatic release assistance if an event occurs, around this area is also research Accident prevention but this is combined with other events correlated with real-time data collection, this accident detection and prevention evaluate properties such as acceleration cornering weather conditions etc. I can say that around this area also Road condition monitoring application works at a high level.

 

Management applications such as fleet management aim to monitor and control the life of the vehicle, it is mainly used by insurance and private companies that monitor their vehicles and employees or customers, this can extend the use of the vehicles and keep safe the driver in terms of conditions of the vehicle, in general, this application use IoT devices or In-build vehicles sensors to collect the data to be processed.

 

Driving Assistance applications that are focused on this research extended to several areas, for example, systems Connected to ITS to receive updates from Traffic management, this warning to drivers or may to suggest alternative ways to improve driving circulation. Another broad area of research is based to improve driver education by using automatic Feedback to individuals to improve their driving style and reduce driver mistakes rates.

 

Common Driving Behaviour Applications