A review of travel time estimation and forecasting for advanced Traveller Information Systems

Due to the increase in vehicle transit and congestion in road networks, providing information about the state of the traffic to commuters has become a critical issue for Advanced Traveller Information Systems. These systems should assist users in making pre-trip and en-route decisions and, for this purpose, delivering travel time information is very useful because it is very intuitive and easily understood by all travellers. The aim of this paper is to present a global view of the literature on the modelling of travel time, introducing essential concepts and giving a thorough classification of the existing techniques. Most of the attention will focus on travel time estimation and travel time prediction, which are two of the most relevant challenges in travel time modelling. The definition and goals of these two modelling tasks along with the methodologies used to carry them out will be further explored and categorised.Basque Government, Saiotek IT-609-13. Spanish Ministry of Science and Innovation TIN2010-14931. COMBIOMED network in computational biomedicine (Carlos III Health Institute). Diputacion Foral de Gipuzkoa, 2011-CIEN-000060-01. CRC-Biomarkers project (Diputacion Foral de Bizkaia), 6-12-TK-2011-014. Fundacion Inaki Goenaga. University of the Basque Country UPV/EHU