001     888138
005     20210130010825.0
024 7 _ |a 10.1007/978-3-030-55973-1
|2 doi
024 7 _ |a 10.1007/978-3-030-55973-1_34
|2 doi
037 _ _ |a FZJ-2020-04712
100 1 _ |a Xu, Qiancheng
|0 P:(DE-Juel1)173880
|b 0
|e Corresponding author
|u fzj
111 2 _ |a Traffic and Granular Flow 2019
|g TGF19
|c Pamplona
|d 2019-07-02 - 2019-07-05
|w Spain
245 _ _ |a Clogging in Velocity-Based Models for Pedestrian Dynamics
260 _ _ |a Cham
|c 2020
|b Springer International Publishing
300 _ _ |a 275-281
336 7 _ |a CONFERENCE_PAPER
|2 ORCID
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
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336 7 _ |a Contribution to a book
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490 0 _ |a Springer Proceedings in Physics
|v 252
520 _ _ |a In the simulation of pedestrian bottleneck flow with velocity-based models stable clogging could be observed, which is not in line with the movement of pedestrians in the real world. Four velocity-based models with different structures are selected in this paper to explore the cause of the phenomenon by identifying and analysing stable clogging. A series of simulations of pedestrians moving through a bottleneck are designed to investigate the decisive factors behind the unrealistic stable clogging, which includes the width of the exit, the flow of the pedestrian at the entrance and the size of the simulation time-step. The result of simulations with different models are compared and analyzed.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
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|c POF3-511
|f POF III
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536 _ _ |0 G:(DE-Juel1)PHD-NO-GRANT-20170405
|x 1
|c PHD-NO-GRANT-20170405
|a PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)
700 1 _ |a Chraibi, Mohcine
|0 P:(DE-Juel1)132077
|b 1
|u fzj
700 1 _ |a Seyfried, Armin
|0 P:(DE-Juel1)132266
|b 2
|u fzj
773 _ _ |a 10.1007/978-3-030-55973-1_34
909 C O |o oai:juser.fz-juelich.de:888138
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|v Computational Science and Mathematical Methods
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|l Supercomputing & Big Data
914 1 _ |y 2020
920 1 _ |0 I:(DE-Juel1)IAS-7-20180321
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980 _ _ |a contrib
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