TY - JOUR
T1 - Traffic incidents in motorways
T2 - An empirical proposal for incident detection using data from mobile phone operators
AU - Steenbruggen, John
AU - Tranos, Emmanouil
AU - Rietveld, Piet
PY - 2016/6/1
Y1 - 2016/6/1
N2 - 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.
AB - 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.
KW - Collective sensing
KW - Data science
KW - Mobile phone data
KW - Road traffic incident management
UR - http://www.scopus.com/inward/record.url?scp=84973343728&partnerID=8YFLogxK
U2 - 10.1016/j.jtrangeo.2016.05.008
DO - 10.1016/j.jtrangeo.2016.05.008
M3 - Article (Academic Journal)
AN - SCOPUS:84973343728
SN - 0966-6923
VL - 54
SP - 81
EP - 90
JO - Journal of Transport Geography
JF - Journal of Transport Geography
ER -