RT Journal Article
T1 A review of travel time estimation and forecasting for Advanced Traveller Information Systems
A1 Mori, Usue
A1 Mendiburu, Alexander
A1 Álvarez, Maite
A1 Lozano, Jose A.
AB 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.
SN 2324-9935
YR 2015
FD 2015-02-07
LA eng
NO Mori , U , Mendiburu , A , Álvarez , M & Lozano , J A 2015 , ' A review of travel time estimation and forecasting for Advanced Traveller Information Systems ' , Transportmetrica A: Transport Science , vol. 11 , no. 2 , pp. 119-157 . https://doi.org/10.1080/23249935.2014.932469
NO Publisher Copyright: © 2014 Hong Kong Society for Transportation Studies Limited.
NO This work has been partially supported by the Saiotek and IT-609-13 programmes (Basque Government), TIN2010-14931 (Spanish Ministry of Science and Innovation), COMBIOMED network in computational biomedicine (Carlos III Health Institute), 2011-CIEN-000060-01 (Diputación Foral de Gipuzkoa) and CRC-Biomarkers project (6-12-TK-2011-014, Diputación Foral de Bizkaia). During the realisation of this research Usue Mori held a grant from Fundación Iñaki Goenaga. Currently, she holds a grant from the University of the Basque Country UPV/EHU.
DS TECNALIA Publications
RD 29 sept 2024