Show simple item record

dc.contributor.advisorLozano Alonso, José Antonio ORCID
dc.contributor.advisorMendiburu Alberro, Alexander
dc.contributor.advisorÁlvarez Piernavieja, Maite
dc.contributor.authorMori Carrascal, Usue
dc.contributor.otherCiencia de la Computación e Inteligencia Artificial/Konputazio Zientzia eta Adimen Artifizialaes
dc.date.accessioned2012-10-10T12:51:01Z
dc.date.available2012-10-10T12:51:01Z
dc.date.issued2012-10-10T12:51:01Z
dc.date.submitted2012-09-20
dc.identifier.urihttp://hdl.handle.net/10810/8777
dc.description.abstractProviding 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.isoenges
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjecttravel time estimationes
dc.titleA review of travel time estimation and forecasting for advanced traveler information systemses
dc.typeinfo:eu-repo/semantics/masterThesises


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record