Output details
11 - Computer Science and Informatics
University College London
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Output 0 of 0 in the submission
Output title
Mining mobility data to minimise travellers' spending on public transport.
Type
E - Conference contribution
Name of conference/published proceedings
KDD
Volume number
-
Issue number
-
First page of article
1181
ISSN of proceedings
-
Year of publication
2011
Number of additional authors
1
Additional information
<15> We mine near 20 million journeys done using Oyster RFID cards in the London's public transport network and discover an overspending, due to incorrect fare purchase, of over 2 million GBP in just 3 months. We propose a data mining technique to dynamically learn travelers’ movement patterns and predict what ticket fare to purchase, obtaining an accuracy of 98% (quantifiable in millions of pounds savings). The work has been covered by BBC News (http://www.bbc.co.uk/news/uk-england-london-13389363). I gave one workshop keynote (LBSN 2011) and one Advanced Distinguished Lecture at the China Computer Federation based on this work. Conference acceptance rate: 17.5%
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
