A Simple Framework for Context-Aware Driver Performance

Driver is the most important part of safety in transportation as risky driving behavior is the leading cause of accidents. Driver performance analysis enables us to identify risky drivers and improve safety by providing in time and specialized coaching. It can be achieved by analyzing driver actions. In this work, we propose a framework for context-aware driver performance analysis by validating the actions drivers take on the road by considering the context in which it has occurred. The framework is tested on tailgating examples from long haul trucks and the results show that it can differentiate driving behavior where a driver was at fault from the ones where she was not by incorporating context. The framework can be used to identify risky drivers by analyzing their context-aware actions.