Extracting commuting patterns in railway networks through matrix decompositions
Name
Jaillet_Extracting commuting.pdf
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2.02 MB
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Author(s)
Jere, Shashank
Dauwels, Justin
Asif, Muhammad Tayyab
Vie, Nikola Mitro
Cichocki, Andrzej
Jaillet, Patrick
Date Issued
December 2014
Journal
Proceedings of the 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Jere, Shashank, Justin Dauwels, Muhammad Tayyab Asif, Nikola Mitro Vie, Andrzej Cichocki, and Patrick Jaillet. “Extracting Commuting Patterns in Railway Networks through Matrix Decompositions.” 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV) (December 2014).
Version
Author's final manuscript
Abstract
With the rise in the population of the world's cities, understanding the dynamics of commuters' transportation patterns has become crucial in the planning and management of urban facilities and services. In this study, we analyze how commuter patterns change during different time instances such as between weekdays and weekends. To this end, we propose two data mining techniques, namely Common Orthogonal Basis Extraction (COBE), and Joint and Individual Variation Explained (JIVE) for Integrated Analysis of Multiple Data Types and apply them to smart card data available for passengers in Singapore. We also discuss the issues of model selection and interpretability of these methods. The joint and individual patterns can help transportation companies optimize their resources in light of changes in commuter mobility behavior.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/ICARCV.2014.7064362
