Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability

Urban human mobility prediction is forecasting how people move in cities. It is crucial for many smart city applications including route optimization, preparing for dramatic shifts in modes of transportation, or mitigating the epidemic spread of viruses such as COVID-19. Previous research propose th...

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Vydané v:	IEEE transactions on knowledge and data engineering Ročník 35; číslo 5; s. 4514 - 4526
Hlavní autori:	Zhang, Chao, Zhao, Kai, Chen, Meng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.05.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Context Context modeling COVID-19 Entropy Forecasting human mobility Human motion Limits of predictability location prediction Mobility Optimization Prediction algorithms predictive algorithm Predictive models Route optimization Source code Trajectory Urban areas
ISSN:	1041-4347, 1558-2191
On-line prístup:	Získať plný text
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