A hierarchical graph-based model for mobility data representation and analysis

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摘要

Hierarchical representations of transportation networks should provide a better understanding of mobility patterns and the underlying structures at various abstraction levels. This paper introduces a hierarchical graph-based model for representing moving objects and trajectories according to multiple spatial, temporal and semantic scales. This formal model is implemented in a graph database and experimented with historical maritime data. Several experimental analyses explore and extract knowledge patterns from the hierarchical graph database. A series of queries applied to an European maritime network derive mobility patterns and highlight network structures.

论文关键词:Graph-based model,Hierarchical representation,Knowledge extraction,Maritime mobility,Network analysis

论文评审过程:Received 27 October 2021, Revised 25 May 2022, Accepted 18 July 2022, Available online 26 July 2022, Version of Record 12 August 2022.

论文官网地址:https://doi.org/10.1016/j.datak.2022.102054