The Measurement of Driving Decision-Making Support Information in Intelligent Vehicles

Intelligent Transportation System (ITS) has the profoundness and complexity that the evolutions of transportation system did not have ever before. A variety of advanced technologies, especially information technology, have been integrated in intelligent vehicles (IVs). That results in a multimedia information environment for the IV driving. Howevert these individual technologies have yet to be integrated to create a fully intelligent vehicle with adequate information load that works cooperatively with the drivers. Aimed at the information measurement of driving decision-making support environment of information, a new method of semantic tree is proposed to evaluate the understanding of information for driving, and discussions are focused on the definitions of concept system, calculations of information granularity and depth. With regard to the relative syntax and pragmatic measurement of information, some primary viewpoints are also introduced. The conceptual designs of tri-dimensional measurement of semantic information and compound measurement of information for intelligent driving come into being at last.