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

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/ICDE55515.2023.00279

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