A review of travel time estimation and forecasting for advanced traveler information systems


Autoria(s): Mori Carrascal, Usue
Contribuinte(s)

Lozano Alonso, José Antonio

Mendiburu Alberro, Alexander

Álvarez Piernavieja, Maite

Ciencia de la Computación e Inteligencia Artificial/Konputazio Zientzia eta Adimen Artifiziala

Data(s)

10/10/2012

10/10/2012

10/10/2012

20/09/2012

Resumo

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.

Identificador

http://hdl.handle.net/10810/8777

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Palavras-Chave #travel time estimation
Tipo

info:eu-repo/semantics/masterThesis