Inferring patterns in the multi-week activity sequences of public transport users

The public transport networks of dense cities such as London serve passengers with widely different travel patterns. In line with the diverse lives of urban dwellers, activities and journeys are combined within days and across days in diverse sequences. From personalized customer information, to imp...

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Bibliographic Details
Main Authors: Koutsopoulos, Haris N. (Author), Goulet-Langlois, Gabriel Etienne (Contributor), Zhao, Jinhua (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor), Massachusetts Institute of Technology. Department of Urban Studies and Planning (Contributor)
Format: Article
Language:English
Published: Elsevier, 2018-06-06T13:36:26Z.
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