Panagiotou, N.N.PanagiotouZygouras, N.N.ZygourasKatakis, I.I.KatakisGunopulos, DimitriosDimitriosGunopulosZacheilas, N.N.ZacheilasBoutsis, I.I.BoutsisKalogeraki, V.V.KalogerakiLynch, S.S.LynchO'Brien, B.B.O'BrienKinane, D.D.KinaneMarecek, J.J.MarecekYu, J.Y.J.Y.YuVerago, R.R.VeragoDaly, E.E.DalyPiatkowski, NicoNicoPiatkowskiLiebig, ThomasThomasLiebigBockermann, C.C.BockermannMorik, KatharinaKatharinaMorikSchnitzler, F.F.SchnitzlerWeidlich, M.M.WeidlichGal, A.A.GalMannor, S.S.MannorStange, HendrikHendrikStangeHalft, WernerWernerHalftAndrienko, GennadyGennadyAndrienko2022-03-132022-03-132016https://publica.fraunhofer.de/handle/publica/39569310.1007/978-3-319-46131-1_5In this demo we present INSIGHT, a system that provides traffic event detection in Dublin by exploiting Big Data and Crowdsourcing techniques. Our system is able to process and analyze input from multiple heterogeneous urban data sources.enINSIGHT: Dynamic traffic management using heterogeneous urban dataconference paper