A mixture model clustering approach for temporal passenger pattern characterization in public transport

Author:

Briand Anne-Sarah,Côme Etienne,El Mahrsi Mohamed K.,Oukhellou Latifa

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Modelling and Simulation,Information Systems

Reference16 articles.

1. Agard, B., Morency, C., Trépanier, M.: Mining public transport user behaviour from smart card data. In: The 12th IFAC Symposium on Information Control Problems in Manufacturing (INCOM), pp. 17–19 (2006)

2. Bagchi, M., White, P.R.: What role for smart card data from bus systems. In: Proceedings of the Institution of Civil Engineers. Municipal Engineer, vol. 157, pp. 39–46. March Issue ME1 (2004)

3. Barry, J., Newhouser, R., Rahbee, A., Sayeda, S.: Origin and destination estimation in New York city with automated fare system data. Transp. Res. Rec. 1817, 183–187 (2002)

4. Chu, K., Chapleau, R.: Enriching archived smart card transaction data for transit demand modeling. Transp. Res. Rec. 2063, 63–72 (2008)

5. El Mahrsi, M.K., Côme, E., Baro, J., Oukhellou, L.: Understanding passenger patterns in public transit through smart card and socio-economic data. In: 3rd International Workshop on Urban Computing (UrbComp), ACM SIGKDD Conference. New York, USA (2014)

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