Discovering urban activity patterns in cell phone data
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- repec:gam:jsusta:v:10:y:2018:i:6:p:2084-:d:153317 is not listed on IDEAS
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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.
- 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.
More about this item
KeywordsCell phone data; Mobility patterns; Activity-based models; Activity recognition; Unsupervised learning; Relational Markov network;
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