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000886101 037__ $$aFZJ-2020-04269
000886101 041__ $$aEnglish
000886101 1001_ $$0P:(DE-Juel1)145189$$aSchrödter, Tobias$$b0$$eCorresponding author$$ufzj
000886101 1112_ $$aFire and Evacuation Modeling Technical Conference$$cvirtual$$d2020-09-09 - 2020-09-11$$gFEMTC$$wvirtual
000886101 245__ $$aModeling Waiting Behavior at Train Stations with Cellular Automaton
000886101 260__ $$c2020
000886101 3367_ $$033$$2EndNote$$aConference Paper
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000886101 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1604665494_10787$$xAfter Call
000886101 520__ $$aIn general, pedestrian models describe the movement of pedestrians with varying level of detail. Often complex processes like way-finding in buildings or navigation through a crowd are solved in a simplified way by collision avoidance algorithms or social forces. For some applications, like the evacuation of a building the moving of pedestrians towards a goal is the substantial contribution determining the dynamic of the process. This changes in more general context, like pedestrians on platforms or airport gates, where waiting people restrict the space for the movement of the others. After reaching their waiting position, pedestrians don’t have any need to keep moving unless the event they are waiting for occurs, e.g. arrival of a train or boarding of the plane starts. In this regard, as opposed to a “moving dynamics” resulting from pedestrians evacuating a specific place, we focus on a “waiting dynamics” where pedestrians visit some temporary areas and wait for a certain amount of time.We model the process of finding the waiting positions, the pedestrians would like to retain throughout the waiting time. The decision will be based on a floor-field representing comfort values based on static and dynamic influences. We consider the geometry, the positions of the entrances/exits, and other constant parameters as static influence (Ezaki et al. (2016)). To simulate the real-time reaction of the pedestrians to the observed situations, the distribution and motion of the neighbors within a waiting area are considered dynamically. Since the pedestrians usually do not have a global overview of the region, an iterative approach is proposed. First the pedestrians only considers the parts of the geometry which are visible from the current position. If none of the comfort values in the visible area is above an individual threshold, the pedestrians moves through the geometry until such a position is found.
000886101 536__ $$0G:(DE-HGF)POF3-511$$a511 - Computational Science and Mathematical Methods (POF3-511)$$cPOF3-511$$fPOF III$$x0
000886101 536__ $$0G:(DE-Juel1)jias72_20191101$$aKapaKrit - Optimizing the capacity of train stations in case of large-scale emergency evacuation events (jias72_20191101)$$cjias72_20191101$$fKapaKrit - Optimizing the capacity of train stations in case of large-scale emergency evacuation events$$x1
000886101 536__ $$0G:(DE-Juel1)PHD-NO-GRANT-20170405$$aPhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)$$cPHD-NO-GRANT-20170405$$x2
000886101 7001_ $$0P:(DE-Juel1)132077$$aChraibi, Mohcine$$b1$$ufzj
000886101 8564_ $$uhttps://www.femtc.com/events/2020/d1-04-schrodter/
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000886101 9141_ $$y2020
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