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Cellular Data Meet Vehicular Traffic Theory: Location Area Updates and Cell Transitions for Travel Time Estimation

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.

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Citation
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
UbiComp '12: Proceedings of the 14th international conference on Ubiquitous computing
Divisions
Entertainment Computing
Subjects
Anwendungssoftware
Event Location
Pittsburgh, USA
Event Type
Conference
Publisher
ACM
Page Range
pp. 361-370
Date
2012
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