Driving decision support environment of information for intelligent vehicles

Intelligent transportation system (ITS), a developing conformation of transportation system in the information times, integrates a variety of advanced technologies, especially information technology. It has the profoundness and complexity that the evolutions of transportation system. Intelligent vehicle (IV) and its applications are one of the keys in ITS applications. And because of the human factor constraints induced by IV drivers, the key to IV applications is the information management or operation, especially the information supplies and its measurement, integration and fusion, based on the driving/travel demands and driver´ abilities. This paper focuses on the driving decision support environment of information (DDSEI) of intelligent vehicle, which is composed of many elements, i.e., drivers, vehicles, roads, and various information supplies. First, the theoretical significance of this study is analyzed. Then the information structure and internal relations of it is dissected, the information processing courses of drivers discussed based on different levels, and a series of models proposed. The concept of DDSEI is defined in this paper, and the conceptual model for DDSEI designing is proposed. In the last section, this paper briefly introduces the key to the practical realization of DDSEI.