UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Inferring the travel mode from sparse GPS data using SVM classification: Case study of Greater London

Bolbol, A; CHENG, T; Tsapakis, I; (2012) Inferring the travel mode from sparse GPS data using SVM classification: Case study of Greater London. In: (Proceedings) Conference of Transportation Research Arena.

Full text not available from this repository.
Type: Proceedings paper
Title: Inferring the travel mode from sparse GPS data using SVM classification: Case study of Greater London
Event: Conference of Transportation Research Arena
Location: Athens, Greece
Dates: 23 April 2012 - 26 April 2012
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/1327020
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item