
Transportation Analytics Using Smart Card Data: A Systematic Review
Author(s) -
Leonardo Monteiro-Fialho,
Enrique Cueto-Rubio,
Carlos Granell,
Sergio Trilles
Publication year - 2025
Publication title -
ieee transactions on intelligent transportation systems
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 1.591
H-Index - 153
eISSN - 1558-0016
pISSN - 1524-9050
DOI - 10.1109/tits.2025.3571101
Subject(s) - transportation , aerospace , communication, networking and broadcast technologies , computing and processing , robotics and control systems , signal processing and analysis
The widespread adoption of smart card technology in mobility services, particularly in public transportation, as well as in car and bike sharing systems, has opened up new avenues for transportation service providers to gain insights into passenger travel behaviors. Smart card data offers a rich source of information on passenger trips, enabling a wide range of transportation analytics applications, including operator performance monitoring, demand modeling, and travel behavior analysis. This systematic mapping review aims to comprehensively examine the current state-of-the-art in leveraging smart cards for analytical studies applied to public transportation research. The review focuses on identifying and analyzing the main analytical purposes, methods, techniques, datasets, and trends used in these studies. The findings of this review provide valuable insights into the current research landscape of smart card data for public transport and highlight potential knowledge gaps that warrant further research.
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