Abstract
The emergence of more complex, data-intensive applications motivates a high demand of effective data modeling for graph databases to support efficient query answering. In this paper, we develop an intuitive graph data model for dynamic taxi ride sharing. We argue that our proposed data model meets the data needs imposed by three fundamental tasks associated with taxi ride sharing. An experiment consisting of a taxi ride sharing simulation with real-world data demonstrates the effectiveness of our modelling approach.
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CITATION STYLE
Steinmetz, D., Merz, F., Ma, H., & Hartmann, S. (2019). A graph model for taxi ride sharing supported by graph databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11788 LNCS, pp. 108–116). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-33223-5_10
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