Abstract
We address the problem of estimating the population density from mobile phone data. After critically examining the relevant network-based data sources (CDR, VLR and passive monitoring systems) a novel methodology is presented with two key novelties. First, it enables
the fusion of cell-level and Location Area-level data from heterogeneous data sources.
Second, it considers a novel tessellation scheme based on cell coverage maps, instead of cell tower locations. Furthermore, it allows to integrate data from different network operators
onto a common reference grid. Within the proposed framework, a Maximum-Likelihood formulation for the population density estimation problem is developed and tested via simulations,showing a significant gain over existing Voronoi-based schemes.
| Original language | English |
|---|---|
| Pages (from-to) | 65-82 |
| Number of pages | 18 |
| Journal | Pervasive and Mobile Computing |
| Volume | 35 |
| DOIs | |
| Publication status | Published - 2017 |
Research Field
- Former Research Field - Mobility Systems
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