Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey

TLDR

Driving style influences vehicle energy consumption, safety, and is essential for advanced driver assistance and automation systems. This survey reviews driving style identification and classification methods, with a focus on machine learning techniques and emerging trends. The paper discusses how driving style recognition can be integrated into intelligent vehicle control systems and outlines expert forecasts for future development.

Abstract

Driver driving style plays an important role in vehicle energy management as well as driving safety. Furthermore, it is key for advance driver assistance systems development, toward increasing levels of vehicle automation. This fact has motivated numerous research and development efforts on driving style identification and classification. This paper provides a survey on driving style characterization and recognition revising a variety of algorithms, with particular emphasis on machine learning approaches based on current and future trends. Applications of driving style recognition to intelligent vehicle controls are also briefly discussed, including experts' predictions of the future development.