Data fusion in intelligent transportation systems: Progress and challenges - A survey

EL-FAOUZI ; LEUNG ; KURIAN

Type de document
ARTICLE A COMITE DE LECTURE REPERTORIE DANS BDI (ACL)
Langue
anglais
Auteur
EL-FAOUZI ; LEUNG ; KURIAN
Résumé / Abstract
In intelligent transportation systems (ITS), transportation infrastructure is complimented with information and communication technologies with the objectives of attaining improved passenger safety, reduced transportation time and fuel consumption and vehicle wear and tear. With the advent of modern communication and computational devices and inexpensive sensors it is possible to collect and process data from a number of sources. Data fusion (DF) is collection of techniques by which information from multiple sources are combined in order to reach a better inference. DF is an inevitable tool for ITS. This paper provides a survey of how DF is used in different areas of ITS. Keywords: Intelligent transportation systems; Information fusion; Advanced traveler information systems; Global positioning systems; Incident detection.
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