MetroWatch: A predictive system to estimate travel attributes using smart card data
Publication Type
Conference Proceeding Article
Publication Date
4-2023
Abstract
In this demonstration, we present a fully data driven solution to retrieve passengers’ actual paths within a metro system that are not captured by an Automated Fare Collection (AFC) system. The majority of public transit systems employ AFC systems with smart cards, which record the exact origin, destination, admission time, and exit time of each passenger’s metro trip. Our solution uses AFC data to first infer travel times and route preferences and then estimates the passengers’ travel paths for all trips to provide a statistical view of passengers’ crowdedness inside a metro network over time.
Keywords
Smart cards, Estimation, Data engineering
Discipline
Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE'23), Anaheim, CA, USA, 2023 April 3-7
First Page
3607
Last Page
3610
ISBN
1063-6382
Identifier
10.1109/ICDE55515.2023.00279
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
BRAHMANAGE JANAKA CHATHURANGA THILAKARATHNA; KANDAPPU, Thivya; and ZHENG, Baihua.
MetroWatch: A predictive system to estimate travel attributes using smart card data. (2023). Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE'23), Anaheim, CA, USA, 2023 April 3-7. 3607-3610.
Available at: https://ink.library.smu.edu.sg/sis_research/8030
Copyright Owner and License
Authors
Additional URL
https://doi.org/10.1109/ICDE55515.2023.00279