Traffic congestion causes unnecessary delay, pollution and increased fuel consumption. In this project we address this problem by creating a new Intelligent Transportation System which provides speed advice to car drivers. We design and analyze reinforcement learning algorithms to automatically learn policies dictating the optimal driving speed on the highway. Our algorithms take predictions of future traffic conditions into account, such that traffic flow can be controlled proactively. The resulting system is tested and evaluated in a real field test in the Netherlands.
Timeframe
October 2013 to December 2014
People involved
Collaborators
Cygnify BV, Traxpert, Locatienet, Tessa Bouw Communicatie
Funded by
Cityregion Eindhoven (SRE), the province of North Brabant and the Ministry of Infrastructure and the Environment, as part of the Brabant In-Car III program
More information
Please contact Matthijs Spaan
Videos of the Smoover system
https://www.youtube.com/watch?v=OacvsVawRXY (RTL Nieuws)
https://drive.google.com/file/d/0B-4Yja9r6kTVRmg4RHlXb3dZaU0/view (demo)
