000199475 001__ 199475
000199475 005__ 20181126105845.0
000199475 037__ $$aCONF
000199475 245__ $$a Schedule-based estimation of pedestrian demand within a railway station
000199475 269__ $$a2014
000199475 260__ $$c2014
000199475 336__ $$aConference Papers
000199475 520__ $$a A framework is outlined for estimating pedestrian demand within a railway station which takes advantage of the train timetable and train frequentation data, as well as various direct or indirect indicators of demand. These may include e.g. link flow counts, measurements of density and travel times, or historical information. The problem is considered in discrete time and at the aggregate level, i.e., for groups of pedestrians associated with the same origin-destination pair and with the same departure time interval. The formulation of the framework allows for a wide applicability to various types of railway stations and input data. A preliminary case study analysis of Lausanne railway station provides an example of such an application.
000199475 700__ $$aHänseler, Flurin
000199475 700__ $$0250178$$aMolyneaux, Nicholas$$g203854
000199475 700__ $$0240563$$aBierlaire, Michel$$g118332
000199475 700__ $$0245993$$aStathopoulos, Amanda$$g220044
000199475 7112_ $$aSwiss Transportation Research Conference$$cAscona, Switzerland$$d14-16 May
000199475 8564_ $$s554747$$uhttps://infoscience.epfl.ch/record/199475/files/Haens_STRC_2014.pdf$$yn/a$$zn/a
000199475 909C0 $$0252123$$pTRANSP-OR$$xU11418
000199475 909CO $$ooai:infoscience.tind.io:199475$$pconf$$pENAC$$qGLOBAL_SET
000199475 937__ $$aEPFL-CONF-199475
000199475 970__ $$aCONF-Haens_STRC_2014/TRANSP-OR
000199475 980__ $$aCONF