Discovering urban activity patterns in cell phone data
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References listed on IDEAS
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- repec:eee:appene:v:195:y:2017:i:c:p:810-818 is not listed on IDEAS
- repec:eee:energy:v:140:y:2017:i:p1:p:716-728 is not listed on IDEAS
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- Zhao, Shuangming & Zhao, Pengxiang & Cui, Yunfan, 2017. "A network centrality measure framework for analyzing urban traffic flow: A case study of Wuhan, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 143-157.
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- Pozdnukhov, Alexey, 2016. "Demand Forecasting and Activity-based Mobility Modeling from Cell Phone Data," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4hc9r218, Institute of Transportation Studies, UC Berkeley.
More about this item
KeywordsCell phone data; Mobility patterns; Activity-based models; Activity recognition; Unsupervised learning; Relational Markov network;
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