Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 119-157 |
| Number of pages | 39 |
| Journal | Transportmetrica A: Transport Science |
| Volume | 11 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 7 Feb 2015 |
Funding
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.
| Funders | Funder number |
|---|---|
| University of the Basque Country UPV/EHU | |
| Fundación Centros Tecnológicos Iñaki Goenaga | |
| Diputación Foral de Bizkaia | |
| Eusko Jaurlaritza | TIN2010-14931 |
| Ministerio de Ciencia e Innovación | 2011-CIEN-000060-01 |
| Diputación Foral de Gipuzkoa | 6-12-TK-2011-014 |
Keywords
- Advanced Traveller Information Systems
- intelligent transportation systems
- travel time estimation
- travel time prediction
Project and Funding Information
- Funding Info
- Basque Government, Saiotek IT-609-13._x000D_ Spanish Ministry of Science and Innovation TIN2010-14931. _x000D_ COMBIOMED network in computational biomedicine (Carlos III Health Institute). _x000D_ Diputacion Foral de Gipuzkoa, 2011-CIEN-000060-01. _x000D_ CRC-Biomarkers project (Diputacion Foral de Bizkaia), 6-12-TK-2011-014._x000D_ Fundacion Inaki Goenaga._x000D_ University of the Basque Country UPV/EHU.
