000195865 001__ 195865
000195865 005__ 20181203023415.0
000195865 0247_ $$2doi$$a10.3141/2396-15
000195865 022__ $$a0361-1981
000195865 037__ $$aARTICLE
000195865 245__ $$aInvestigation of Lane Flow Distribution on Hard Shoulder Running Freeways
000195865 260__ $$bNational Academy of Sciences$$c2013
000195865 269__ $$a2013
000195865 336__ $$aJournal Articles
000195865 520__ $$aResponding to an impending demand growth at an existing reactive managed lane system, and in order to provide a timely and more effective temporary hard shoulder activation, short-term prediction models are developed. A lane-oriented attribute, namely the left lane flow distribution ratio (LLFDR), is introduced, aiming to ameliorate the system by capturing the forthcoming stream dynamics and reconfiguring it to proactive. To assess the impact of its implementation to the network's performance, an exploratory analysis was effectuated based on data acquired by seven radar sensors located every 500 m, along a Swiss freeway section that is not affected from incoming or exiting traffic. A locally weighted regression is employed to provide a more accurate insight of the traffic behaviour, comparing observations derived during the regular operation of the system and a period that it was suspended, with respect to seasonality patterns. To describe the impending stream motion by examining different time-volume clusters (off-peak and rush-hour), two prediction models were specified according to the time range. The preliminary results of the study for several prediction horizons, demonstrate an acceptable prediction uncertainty. The hard shoulder activation prediction confirms the analysis of the operation impact findings of this research.
000195865 6531_ $$aLane flow distribution
000195865 6531_ $$aShort-term prediction
000195865 6531_ $$aHard shoulder
000195865 700__ $$0244466$$aSamoili, Sophia$$g196576
000195865 700__ $$0245649$$aEfthymiou, Dimitrios$$g218876
000195865 700__ $$aAntoniou, Constantinos
000195865 700__ $$0241970$$aDumont, André-Gilles$$g105012
000195865 773__ $$j2396$$q133-142$$tTransportation Research Record
000195865 909C0 $$0252123$$pTRANSP-OR$$xU11418
000195865 909C0 $$0252146$$pLAVOC$$xU10259
000195865 909CO $$ooai:infoscience.tind.io:195865$$particle$$pENAC
000195865 917Z8 $$x196576
000195865 917Z8 $$x196576
000195865 917Z8 $$x196576
000195865 917Z8 $$x196576
000195865 937__ $$aEPFL-ARTICLE-195865
000195865 970__ $$aIJ-DEfthymTRR2013/TRANSP-OR
000195865 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000195865 980__ $$aARTICLE