Intelligent Vehicle Functions in Reducing the Uncertainty of the Driver's Environment and Reducing Risk
摘要
Driving a road vehicle is a complex process that requires specific knowledge and skills of the driver in order to interact with the vehicle, road infrastructure and environment. In order for the driver to make correct and timely decisions while driving, he must have a sufficient amount of information that corresponds to the current situation and the context of the driver's environment in which decisions are made. The road transport system is a dynamically open system whose state changes under the influence of random events that generate a certain degree of uncertainty in the system. Due to the lack of sufficient amount of information or due to the short time to make decisions while driving, drivers need intelligent vehicle support systems in the decision-making process. Intelligent vehicles collect data from the environment of the vehicle and the driver and provide the driver with the necessary information in order to reduce the uncertainty of his environment and support him in the execution of control functions. This paper describes the possibilities of reducing the uncertainty of the driver's environment with intelligent vehicle functions that should be adapted to the individual requirements of the driver and the context of the traffic situation, taking into account the limitations of the driver and advanced driver support systems.