Driver Identification for Different Road Shapes Using Vehicle IoT Sensing Data

Abstract

In this paper, we propose a driver identification method considering the road shape. Existing methods did not consider the road environment or only considered a specific driving environment. However, in order to identify drivers regardless of the situations that the driver is driving on, it needs to consider the general road environment. To this end, we identifies drivers by analyzing their driving behaviors depending on the road shape represented by the curvature of the driving trajectory. For the evaluation, the proposed model is trained on one track and tested on the other track to verify whether it works well even in the untrained road. The experimental results show that our model achieves 16% of improvement in driver identification over the existing method.