IEEE ICDM Contest: Road Traffic Prediction for Intelligent GPS Navigation
Over the last century, the number of cars engaged in vehicular traffic in cities has increased rapidly, causing many difficulties for all citizens: traffic jams, large and unpredictable communication delays, pollution, etc. Excessive traffic became a civilization problem that affects everyone who lives in a city of 50,000 people or more, anywhere in the world. Complexity of processes that stand behind traffic flow is so large, that only data mining algorithms may bring efficient solutions to these problems.
The task of this year’s ICDM Data Mining Contest is to predict city road traffic for the purpose of intelligent driver navigation and improved journey planning. The three contest problems are related to congestion forecasting, modeling of traffic jams, and smart navigation based on real-time GPS monitoring. Datasets come from a highly realistic simulator of city traffic, Traffic Simulation Framework. The competition is organized on TunedIT Challenges data mining platform by the team of researchers from University of Warsaw, Faculty of Mathematics, Informatics and Mechanics. Prizes worth $5,000 in total will be awarded to the winners.
Everyone is welcome to participate. Competition starts now and will last till September 6th, 2010.