Smart-contents visualization of vehicle big data using vehicle navigation status information

Abstract

The recent technological advances have engrafted information technology (IT) on vehicles, making such vehicles more convenient and safer, and enabling them to meet the consumers' needs. As traffic congestion due to the increased number of vehicles has become a social issue, however, various other connected vehicle technologies for traffic and safety services using the data from the surrounding vehicles are being developed, standard industrial technologies connecting vehicles' infotainment system with mobile devices are under way, and many automobile and IT companies are participating in the promotion of their standardization. This paper discusses an effective method of managing and applying vehicle navigation information by deducing a method of collecting vehicle navigation information and the analysis factors of such information. If such analysis factors and collection technologies of vehicle navigation information manage to accommodate and rapidly apply the customers' demands using precise, highly reliable, and effective visualization methods, they can serve as important factors in creating company profits and in dominating the market in advance. In addition, the transmission of vehicle navigation information in real time is likely to provide an effective way of managing the problem occurrence factors and of instilling effective driving habits, etc. for safe driving. © 2014 Springer-Verlag Berlin Heidelberg.