Improved travel time prediction algorithms for intelligent transportation systems

Abstract

Travel time prediction provides commuters with useful information that enables them to decide whether or not to make necessary changes to their routes or departure times. This explains why travel time prediction has become important to intelligent systems, especially intelligent transportation systems (ITS). Over the past few years, several algorithms have been developed to predict travel time, but some of them suffer from a few problems. In this paper, we propose algorithms that solve these problems and improve the performance and/or accuracy of travel time prediction for ITS. © 2011 Springer-Verlag.