Here's an interesting competition that may well lend itself to R: the IEEE International Conference on Data Mining is running a contest to find the best way of predicting traffic problems. There are three separate contests:
- Predicting congestion: a series of measurements from 10 selected road segments is given and the goal is to make short-term predictions of future values based on historical ones.
- Predicting traffic jams: input data contain identifiers of road segments closed due to roadworks, accompanied by a sequence of segments where the first jams occurred.
- Predicting traffic from individual drivers: the large input data set consists of a stream of notifications from 1% of vehicles about their current GPS locations in the city road network, sent every 10 seconds.
Prizes worth $5,000 will be awarded to the winners, and the competition closes on September 30 6. For details, see the link below.
IEEE ICDM Contest: Road Traffic Prediction for Intelligent GPS Navigation
If you intend to take part in the competition please hurry up! Only three weeks remained!
Posted by: mig | August 19, 2010 at 08:01
The competition was sponsored by the world's leading provider of portable GPS and car navigation systems, and held under the patronage of the Mayor of Warsaw. The datasets are now available at http://tunedit.org
Posted by: wowman | September 22, 2010 at 03:41