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.
Original language | English |
---|---|
Journal | Journal of Transport Geography |
Volume | 54 |
Early online date | 31 May 2016 |
DOIs | |
Publication status | E-pub ahead of print - 31 May 2016 |
Keywords
- Road traffic incident management
- Mobile phone data
- Data science
- Collective sensing