Knowledge Discovery from Urban Trajectory Data: A Survey

Comprehending the mobility of entities in urban environments is crucial for developing and maintaining efficient and livable cities. This survey presents fundamental concepts, methods, and challenges related to knowledge discovery from urban trajectory data, including data acquisition, preprocessing, mining, and practical applications. Unlike previous studies, our survey offers a holistic and integrated view of these steps, ensuring that each stage is optimized to contribute to the overall performance of the mobility knowledge discovery process. Moreover, we identify operational and technical challenges, discussing potential future directions that can unlock new opportunities and advancements in this field.

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Publication Details

Journal
ACM Computing Surveys
Published
2026-07-25
DOI
https://doi.org/10.1145/3833869
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Knowledge Discovery from Urban Trajectory Data: A Survey

João B. Borges, David F. Silva, Lailla M. S. Bine, Heitor S. Ramos et al.
ACM Computing Surveys
Data Management and Algorithms
article

Knowledge Discovery from Urban Trajectory Data: A Survey

João B. Borges, David F. Silva, Lailla M. S. Bine, Heitor S. Ramos, Antônio A. F. Loureiro, Aline Carneiro Viana
article en

Abstract

Comprehending the mobility of entities in urban environments is crucial for developing and maintaining efficient and livable cities. This survey presents fundamental concepts, methods, and challenges related to knowledge discovery from urban trajectory data, including data acquisition, preprocessing, mining, and practical applications. Unlike previous studies, our survey offers a holistic and integrated view of these steps, ensuring that each stage is optimized to contribute to the overall performance of the mobility knowledge discovery process. Moreover, we identify operational and technical challenges, discussing potential future directions that can unlock new opportunities and advancements in this field.

ACM Computing Surveys
Institut national de recherche en sciences et technologies du numérique (FR), Institute of Computing Technology (CN), Faculdades Guarulhos (BR)
Sustainable cities and communities
Openalex Percentile: Top 7%
Data Management and Algorithms
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