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| Authors: | Andreas Janecek, Karin Anna Hummel, Danilo Valerio, Fabio Ricciato, Helmut Hlavacs |
| Group: | Communication Systems |
| Type: | Inproceedings |
| Title: | Cellular Data Meet Vehicular Traffic Theory: Location Area Updates and Cell Transitions for Travel Time Estimation |
| Year: | 2012 |
| Month: | September |
| Book Titel: | 2012 ACM Conference on Ubiquitous Computing |
| Pages: | 361-370 |
| Publisher: | ACM |
| Abstract: | Road traffic can be monitored by means of static sensors and derived from floating car data, i.e., reports from a sub-set of vehicles. These approaches suffer from a number of technical and economical limitations. Alternatively, we propose to leverage the mobile cellular network as a ubiquitous mobility sensor. We show how vehicle travel times and road congestion can be inferred from anonymized signaling data collected from a cellular mobile network. While other previous studies have considered data only from active devices, e.g., engaged in voice calls, our approach exploits also data from idle users resulting in an enormous gain in coverage and estimation accuracy. By validating our approach against four different traffic monitoring datasets collected on a sample highway over one month, we show that our method can detect congestions very accurately and in a timely manner. |
| Resources: | [BibTeX] [ External LINK ] [Paper as PDF] |
