000181117 001__ 181117
000181117 005__ 20180317095440.0
000181117 037__ $$aPOST_TALK
000181117 245__ $$aReal-time Traffic Prediction Under Exogenous Factors
000181117 269__ $$a2011
000181117 260__ $$c2011
000181117 336__ $$aPosters
000181117 520__ $$aTraffic congestion is an escalating phenomenon with multidimensional impact. The proposed research stands in the hypothesis that a traffic forecasting method, acknowledging several exogenous parameters for a more plausible representation of traffic evolution, with the implementation of corresponding ATM strategies, could restrain or prevent network’s performance deterioration.
000181117 6531_ $$ashort-term prediction
000181117 6531_ $$ahard shoulder
000181117 6531_ $$aemergency lane
000181117 700__ $$0244466$$aSamoili, Sofia$$g196576
000181117 7112_ $$aJournée Technique$$cLausanne, Switzerland$$dNovember 22, 2011
000181117 720_2 $$0241970$$aDumont, André-Gilles$$edir.$$g105012
000181117 909CO $$ooai:infoscience.tind.io:181117$$pposter$$pENAC
000181117 909C0 $$0252146$$pLAVOC$$xU10259
000181117 909C0 $$0252324$$pNEARCTIS
000181117 917Z8 $$x196576
000181117 917Z8 $$x196576
000181117 937__ $$aEPFL-POSTER-181117
000181117 973__ $$aEPFL$$sPUBLISHED
000181117 980__ $$aPOSTER