001009015 001__ 1009015
001009015 005__ 20230919204903.0
001009015 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-02575
001009015 037__ $$aFZJ-2023-02575
001009015 1001_ $$0P:(DE-Juel1)178758$$aSubaih, Rudina$$b0$$eCorresponding author
001009015 1112_ $$aPED23 conference$$cTU/Eindhoven$$d2023-06-28 - 2023-06-30$$wNetherlands
001009015 245__ $$aSingle-file Pedestrian Dynamics with Follower Interactions
001009015 260__ $$c2023
001009015 3367_ $$033$$2EndNote$$aConference Paper
001009015 3367_ $$2BibTeX$$aINPROCEEDINGS
001009015 3367_ $$2DRIVER$$aconferenceObject
001009015 3367_ $$2ORCID$$aCONFERENCE_POSTER
001009015 3367_ $$2DataCite$$aOutput Types/Conference Poster
001009015 3367_ $$0PUB:(DE-HGF)24$$2PUB:(DE-HGF)$$aPoster$$bposter$$mposter$$s1695108559_7536$$xAfter Call
001009015 520__ $$aSingle-file movement in pedestrian dynamics is when people walk one behind the other in a narrow space like a corridor without overtaking. Researchers study this kind of movement to understand how people move in crowds. They conduct experiments in closed spaces to keep the conditions simple and focus on the significant aspects of pedestrian's movement.Thus, one-dimensional modeling is a matter of great interest to researchers.They focus on how the speed of pedestrians relates to the distance from neighbors, as well as how it relates to the formation of stop-and-go waves.Most models in the literature only consider the distance and relative speed between a pedestrian and the person directly in front rather than considering the interactions with people on both sides. This is known as ``totally asymmetric'' modeling.In~\cite{ref5} the authors show that the distance behind simultaneously with the distance in front improves individual pedestrian speed predictions by 18\% compared to forward distance alone. The aforementioned result inspires the authors to extend the interaction in the stochastic optimal velocity (OV) model~\cite{ref6} with the pedestrian behind.In the proposed symmetric model, the speed depends on the distance to the pedestrian in front and the relative distance between the pedestrians in front and behind:\begin{equation}   \begin{cases}    ~\dot x_n(t)=F\big(\Delta x_n(t)+\alpha(\Delta x_n(t)-\Delta x_{n-1}(t))\big)+\xi_n(t),\\[2mm]    ~d\xi_n(t)=-\gamma\xi_n(t)dt+\sigma dW_n(t).    \end{cases}    \label{modn}\end{equation}The parameter $\alpha$ can be adjusted to give more or less weight to the distance with the person behind. We compare the simulation results of the improved model to the original totally asymmetric approach for different settings of $\alpha$.The simulations for positive $\alpha$ show fewer backward movements, making the stop-and-go waves qualitatively more realistic. Furthermore, we found that the symmetric model with selected values for $\alpha$ better describes the fundamental diagram (space-speed relationship) and its scattering.
001009015 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001009015 536__ $$0G:(BMBF)01DH16027$$aPilotprojekt zur Entwicklung eines palästinensisch-deutschen Forschungs- und Promotionsprogramms 'Palestinian-German Science Bridge' (01DH16027)$$c01DH16027$$x1
001009015 536__ $$0G:(GEPRIS)446168800$$aDFG project 446168800 - Multi-Agent-Modellierung der Dynamik von dichten Fußgängermengen: Vorhersagen & Verstehen (446168800)$$c446168800$$x2
001009015 7001_ $$0P:(DE-Juel1)159135$$aTordeux, Antoine$$b1
001009015 7001_ $$0P:(DE-HGF)0$$aMaree, Mohammed$$b2
001009015 8564_ $$uhttps://juser.fz-juelich.de/record/1009015/files/PED23_poster_RS_v1.pdf$$yOpenAccess
001009015 909CO $$ooai:juser.fz-juelich.de:1009015$$popenaire$$popen_access$$pVDB$$pdriver
001009015 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)178758$$aForschungszentrum Jülich$$b0$$kFZJ
001009015 9131_ $$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
001009015 9141_ $$y2023
001009015 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001009015 920__ $$lyes
001009015 9201_ $$0I:(DE-Juel1)IAS-7-20180321$$kIAS-7$$lZivile Sicherheitsforschung$$x0
001009015 9801_ $$aFullTexts
001009015 980__ $$aposter
001009015 980__ $$aVDB
001009015 980__ $$aUNRESTRICTED
001009015 980__ $$aI:(DE-Juel1)IAS-7-20180321