Sari Aslam, N;
Cheng, T;
Cheshire, J;
ZHANG, Y;
(2019)
Trip purpose identification using pairwise constraints based semi-supervised clustering.
In:
Geographical Information Science Research- UK (GISRUK) 2019 Proceedings.
GISRUK: Newcastle, UK.
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Abstract
Clustering of smart card data captured by automated fare collection (AFC) systems has traditionally been viewed as an unsupervised method. However, the small number of labelled data points in addition to the unlabelled smart card data can facilitate better partitioning and classification. In this paper, prior knowledge about the activities is translated into pairwise constraints and used in COP-KMEANS clustering algorithm to identify the trip purpose. The effectiveness of the method was evaluated by comparison of the results with the ground truth. The results demonstrate that semi-supervised clustering enhances the accuracy of the trip purpose identification.
Type: | Proceedings paper |
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Title: | Trip purpose identification using pairwise constraints based semi-supervised clustering |
Event: | Geographical Information Science Research- UK (GISRUK) 2019 |
Location: | Newcastle, UK |
Dates: | 22 April 2019 - 26 April 2019 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www.newcastle.gisruk.org/proceedings/ |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Trip purposes, smart card data, COP-KMEANS, semi-supervised clustering |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography |
URI: | https://discovery.ucl.ac.uk/id/eprint/10085137 |



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