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Pasini, K., Khouadjia, M., Same, A., Trépanier, M., & Oukhellou, L. (2022). Contextual anomaly detection on time series: a case study of metro ridership analysis. Neural Computing and Applications, 34(2), 1483-1507. External link
Toqué, F., Côme, E., Trépanier, M., & Oukhellou, L. (2020). Forecasting of the Montreal subway smart card entry logs with event data. (Technical Report n° CIRRELT-2020-33). External link
Briand, A.-S., Côme, E., Trépanier, M., & Oukhellou, L. (2017). Analyzing year-to-year changes in public transport passenger behaviour using smart card data. Transportation Research Part C: Emerging Technologies, 79, 274-289. External link
Toqué, F., Khouadjia, M., Come, É., Trépanier, M., & Oukhellou, L. (2017, October). Short & long term forecasting of multimodal transport passenger flows with machine learning methods [Paper]. 20th IEEE International Conference on Intelligent Transportation Systems (ITSC 2017), Yokohama, Japan. External link
Brianda, A.-S., Côme, É., Oukhellou, L., & Trépanier, M. (2017, May). Smart card clustering to extract typical temporal passenger habits in transit network. Two case studies: Rennes in France and Gatineau in Canada [Paper]. 3rd International Workshop and Symposium Research and Applications on the Use of Passive Data fom Public Transport, Santiago, Chile. External link
Trépanier, M., Briand, A.-S., Oukhellou, L., & Côme, É. (2016, April). Variations annuelles du comportement des usagers de transport collectif [Paper]. 51e Congrès de l'Association québécoise des transports, Québec, Québec. Unavailable
