A Forward Collision Warning Algorithm Based on Driver Characteristics

As a part of Driver Assistance Systems (DAS), the Forward Collision Warning System (FCWS) can effectively avoid forward collision accidents and improve traffic safety. Based on the Drivers’ Behavior Questionnaire (DBQ), five clusters were defined by the cluster analysis in this paper. Meanwhile, on the basis of the driver behavior experiments on the passenger vehicle, and TTC strategy, a forward collision warning algorithm in accordance with the driver characteristics is presented. In this research, it is the key of the strategy to determine the warning-start logic and statistically estimate the warning threshold. Finally, the experiment results demonstrate that the algorithm is able to embody various types of driver characteristics and enhance the acceptance of FCWS.