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Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation
Research article (International Journal of Geographical Information Systems, 2019) · cited 43× · AI/ML
Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation
Summary
Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation is a scholarly article[1].
Key Facts
Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation. Retrieved May 24, 2026, from https://4ort.xyz/entity/extracting-activity-patterns-from-taxi-trajectory-data-a-two-layer-framework-using-spatio-temporal-clustering-bayesian-p
MLA“Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extracting-activity-patterns-from-taxi-trajectory-data-a-two-layer-framework-using-spatio-temporal-clustering-bayesian-p.
BibTeX@misc{4ortxyz_extracting-activity-patterns-from-taxi-trajectory-data-a-two-layer-framework-using-spatio-temporal-clustering-bayesian-p_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation}}, year = {2026}, url = {https://4ort.xyz/entity/extracting-activity-patterns-from-taxi-trajectory-data-a-two-layer-framework-using-spatio-temporal-clustering-bayesian-p}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation — https://4ort.xyz/entity/extracting-activity-patterns-from-taxi-trajectory-data-a-two-layer-framework-using-spatio-temporal-clustering-bayesian-p (retrieved 2026-05-24)
