001034389 001__ 1034389
001034389 005__ 20241219210859.0
001034389 037__ $$aFZJ-2024-07171
001034389 041__ $$aEnglish
001034389 1001_ $$0P:(DE-Juel1)142414$$aSchumann, Jette$$b0
001034389 1112_ $$aSUMO User Conference 2024$$cBerlin$$d2024-05-13 - 2024-05-15$$wGermany
001034389 245__ $$aComprehensive simulation by coupling simulators for pedestrian and vehicle dynamics
001034389 260__ $$c2024
001034389 3367_ $$033$$2EndNote$$aConference Paper
001034389 3367_ $$2BibTeX$$aINPROCEEDINGS
001034389 3367_ $$2DRIVER$$aconferenceObject
001034389 3367_ $$2ORCID$$aCONFERENCE_POSTER
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001034389 3367_ $$0PUB:(DE-HGF)24$$2PUB:(DE-HGF)$$aPoster$$bposter$$mposter$$s1734615588_15345$$xAfter Call
001034389 520__ $$aAn important prerequisite for the safety of visitors to major events is the consideration of all traffic flows during arrival and departure processes under the given or expected framework conditions. In particular, the area of the "last mile", in which visitors arrive by various means of transport, switch to pedestrian mode and thus enter the actual event venue, is of essential interest. However, even nowadays, pedestrian and vehicle dynamics have usually been simulated and analysed independently of each other. As a result, key findings from one sub-area are often not adequately mapped in another sub-area and in this way, critical insights are lost.For this reason, Forschungszentrum Jülich (FZJ) and the German Aerospace Center (DLR) are coupling their simulation frameworks JuPedSim (Jülich Pedestrian Simulator) and SUMO (Simulation of Urban Mobility) to provide an integrated traffic model. Pedestrian models in SUMO interact in a modular manner with the other simulation models, making it easy to switch between different models or implement new ones. Coupling SUMO with JuPedSim allows users to utilize microscopic pedestrian models to simulate the movement of crowds, considering in particular phenomena such as arching and lane formation.The poster provides an overview of the ongoing research project CroMa-PRO and technical details on the coupling.
001034389 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001034389 536__ $$0G:(BMBF)13N16689$$aCroMa-PRO - Simulationsgestütztes Verkehrs- und Crowd-Management bei Großveranstaltungen (13N16689)$$c13N16689$$x1
001034389 7001_ $$0P:(DE-HGF)0$$aNippold, Ronald$$b1$$eCorresponding author
001034389 909CO $$ooai:juser.fz-juelich.de:1034389$$pVDB
001034389 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)142414$$aForschungszentrum Jülich$$b0$$kFZJ
001034389 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a DLR$$b1
001034389 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5111$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001034389 9141_ $$y2024
001034389 920__ $$lyes
001034389 9201_ $$0I:(DE-Juel1)IAS-7-20180321$$kIAS-7$$lZivile Sicherheitsforschung$$x0
001034389 980__ $$aposter
001034389 980__ $$aVDB
001034389 980__ $$aI:(DE-Juel1)IAS-7-20180321
001034389 980__ $$aUNRESTRICTED