Driving Behaviour Study using Human-Machine Interactions
Today, and probably for a long time to come, humans will remain an integral part of vehicles for driving tasks. Therefore, it is essential to understand how vehicles and drivers interact with each other and how drivers' behavior and physical and mental states affect vehicle performance and traffic safety. In this work, the relationship between driver and vehicle was explored in real-world driving conditions by analyzing large-scale naturalistic data collected from cars and drivers. We analyzed different types of driver-vehicle interactions during driving, investigated the effect of different driving conditions on drivers' stress, and explored the relationship between driver and vehicle in different driving conditions. The findings from this work could be used to help manage comfort-related in-vehicle intervention systems and could provide a continuous measure of how different external conditions (traffic, road, weather, etc.) affect drivers.
