Abstract This paper proves that mobile phone usage data is an easy to use, cheap and most importantly, reliable predictor of motorway incidents. Using econometric modelling, this paper provides a proof of concept of how mobile phone usage data can be utilised to detect motorway incidents. Greater Amsterdam is used here as a case study and the results suggest that mobile phone usage data can be utilised for the development of an early warning system to support road traffic incident management.
Highlights Mobile phone data provides new opportunities to improve traffic incident management. Mobile phone use is strongly affected by the occurrence of motorway traffic incidents. The results suggest that our approach is a useful starting point for the development of an early warning system. It must be seen as an additional information tool to be used concurrently with existing systems. The process of data fusion, which combines information originating from multiple sources, could be further explored.
Traffic incidents in motorways: An empirical proposal for incident detection using data from mobile phone operators
Journal of Transport Geography ; 54 ; 81-90
2016-05-18
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Online Contents | 1994
|TIBKAT | 1994
|Wavelet Transforms for Incident Detection on Motorways
British Library Conference Proceedings | 1996
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