User-oriented travel time prediction using grey system and real-time vehicle detector data

Abstract

Real-time travel information is increasingly important for ITS. Many high-valued time-sensitive applications can take advantage from this real-time information. This paper describes an approach to estimate travel time with Grey System. Combined with real-time vehicle detector data, wireless communication ability and global positioning system, individual driving preference is then measured and been used to adjust the estimation model. An empirical result is shown at the end of this paper and shows a satisfying result.