Data fusion in intelligent transportation systems: Progressand challenges – A survey

In intelligent transportation systems (ITS), transportation infrastructure is complimented with informationand 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 moderncommunication and computational devices and inexpensive sensors it is possible to collect and processdata from a number of sources. Data fusion (DF) is collection of techniques by which information frommultiple sources are combined in order to reach a better inference. DF is an inevitable tool for ITS. Thispaper provides a survey of how DF is used in different areas of ITS.