Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification

Abstract

0198-9715/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.compenvurbsys.2012.06.00 ⇑ Corresponding author. Tel.: +44 788 983 1988. E-mail addresses: a.bolbol@ucl.ac.uk (A. Bolbol), ta i.tsapakis@ucl.ac.uk (I. Tsapakis), j.haworth@ucl.ac.uk 1 Tel.: +44 781 56 
DOI: 10.1016/j.compenvurbsys.2012.06.001

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@article{Bolbol2012InferringHT, title={Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification}, author={Adel Bolbol and Tao Cheng and Ioannis Tsapakis and James Haworth}, journal={Computers, Environment and Urban Systems}, year={2012}, volume={36}, pages={526-537} }