SMARTPHONE-BASED APPROACH TO DETERMINING DRIVING STYLE WITH ON-BOARD SENSORS

Introduction: Driving behavior analysis and driving style evaluation allow you to pay the drivers’ attention to their driving skills and characteristics, reduce reckless driving rate, increase the vehicle usage efficiency and thereby reduce the number of traffic accidents. However, the available driver assistance systems lack personalization, which in its turn decreases the efficiency of these systems and limits the scope of their usage. Purpose: Developing an approach to analysis and evaluation of a driving style, based on smartphone features such as a front-facing camera and sensors, and focused on its usage in driver safety systems. Results: The article discusses a scheme of combining data from smartphone sensors for a driver assistant system. It presents an information model of a driver’s profile. An algorithm has been developed for the analysis of an individual driving style in order to to improve the quality of recognizing dangerous states in one’s driving behavior, taking into account the previous experience of using the system. This algorithm allows drivers to evaluate their driving style and thereby to pay more attention to their driving skills. A prototype has been developed for a system evaluating a driving style based on the data from smartphone sensors related to the vehicle operation parameters, taking into account the history of driver’s interaction with the assistant system. Practical relevance: The obtained results allow you to increase the accuracy of recognizing dangerous states and, thereby, improve the efficiency of the driver assistance system. They also can be used for generating and displaying driving reports for insurance agents, fleet managers and logistic managers who observe and monitor the driving statistics.