dc.contributor.advisor | Lozano Alonso, José Antonio | |
dc.contributor.advisor | Mendiburu Alberro, Alexander | |
dc.contributor.advisor | Álvarez Piernavieja, Maite | |
dc.contributor.author | Mori Carrascal, Usue | |
dc.contributor.other | Ciencia de la Computación e Inteligencia Artificial/Konputazio Zientzia eta Adimen Artifiziala | es |
dc.date.accessioned | 2012-10-10T12:51:01Z | |
dc.date.available | 2012-10-10T12:51:01Z | |
dc.date.issued | 2012-10-10T12:51:01Z | |
dc.date.submitted | 2012-09-20 | |
dc.identifier.uri | http://hdl.handle.net/10810/8777 | |
dc.description.abstract | Providing on line travel time information to commuters has become an important issue for
Advanced Traveler Information Systems and Route Guidance Systems in the past years, due
to the increasing traffic volume and congestion in the road networks. Travel time is one of
the most useful traffic variables because it is more intuitive than other traffic variables such as
flow, occupancy or density, and is useful for travelers in decision making.
The aim of this paper is to present a global view of the literature on the modeling of travel
time, introducing crucial concepts and giving a thorough classification of the existing tech-
niques. Most of the attention will focus on travel time estimation and travel time prediction,
which are generally not presented together. The main goals of these models, the study areas
and methodologies used to carry out these tasks will be further explored and categorized. | es |
dc.language.iso | eng | es |
dc.rights | info:eu-repo/semantics/openAccess | es |
dc.subject | travel time estimation | es |
dc.title | A review of travel time estimation and forecasting for advanced traveler information systems | es |
dc.type | info:eu-repo/semantics/masterThesis | es |