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Data gold mining: MIDAS and journey time predictors
Author(s) -
Gibbens Richard,
Werft Wiebke
Publication year - 2005
Publication title -
significance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 21
eISSN - 1740-9713
pISSN - 1740-9705
DOI - 10.1111/j.1740-9713.2005.00108.x
Subject(s) - computer science , transport engineering , data science , real time computing , data mining , engineering
The Motorway Incident Detection and Automatic Signalling (MIDAS) system data are summaries of traffic volumes, speeds and vehicle types, derived from loop detectors that sense traffic passing over them. These sensors are being rolled out across the UK's strategic highway network (motorways and major A‐roads) and data from portions of one of the busiest motorways, the M25, now go back 10 years. Richard Gibbens and Wiebke Werft describe a journey time predictor based on MIDAS and explain how the data can shed light on topical issues such as road pricing.