Active vehicle safety system design based on driver characteristics and behaviour

In the development of driver adaptive and context aware active safety applications, driver–vehicle interaction signals offer excellent opportunities for advanced system design, yet limited progress has been realised. The implementation of driver adaptive and context aware systems requires longer time windows to analyse the current status of the driver and/or traffic situation ahead. In this study, a summary of systems that can be realised based on the long-term analysis of driver–vehicle interaction signals is presented. These signals are readily obtained by using Controller Area Network (CAN) Bus via On Board Diagnostic System (OBD) II port that can be utilised at low cost. Based on the analysis results, quantitative metrics are suggested that can be used in many ways, with two prospects considered here: (1) manoeuvres can be recognised for context aware intelligent active safety and (2) the models or signal processing methods can be proposed so as to distinguish distracted/impaired driver behaviour from normal/safe behaviour.