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001     852633
005     20230224084245.0
020 _ _ |a 978-3-319-98653-1 (print)
020 _ _ |a 978-3-319-98654-8 (electronic)
024 7 _ |a 10.1007/978-3-319-99813-8_17
|2 doi
024 7 _ |a 0302-9743
|2 ISSN
024 7 _ |a 1611-3349
|2 ISSN
024 7 _ |a 2128/19742
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024 7 _ |a WOS:000894231400017
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037 _ _ |a FZJ-2018-05530
041 _ _ |a English
082 _ _ |a 004
100 1 _ |a Chraibi, Mohcine
|0 P:(DE-Juel1)132077
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|e Corresponding author
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111 2 _ |a International conference on cellular automata for research and industry
|g ACRI 2018
|c Como
|d 2018-09-17 - 2018-09-21
|w Italy
245 _ _ |a The automatic generation of an efficient floor field for CA simulations
260 _ _ |a Cham
|c 2018
|b Springer International Publishing
295 1 0 |a Cellular Automata
300 _ _ |a 185 - 195
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a Contribution to a conference proceedings
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336 7 _ |a Contribution to a book
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490 0 _ |a Lecture Notes in Computer Science
|v 11088
520 _ _ |a The Hermes project [1] demonstrated the usefulness of on site predictive simulations of probable evacuation scenarios for security personnel. However, the hardware needed was prohibitively expensive [2]. For use in crowd management, the software has to run on available computers. The CA methods, which are fast enough, have well known problems with treating corners and turns. The present paper shows how a standard CA method can be modified to produce a realistic movement of people around bends and obstacles by changing the standard floor field. This can be done adaptively allowing for the momentary situation using simple predictions for the immediate future. The approach has one or two tuning parameter that have an obvious meaning and can therefore be set correctly by people not familiar with the inner process of a CA simulation. With this, a high end laptop can simulate more than 100 000 persons faster than real time, which should be enough for most occasions. It is intended to integrate the method into the tool JuPedSim [23].
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
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588 _ _ |a Dataset connected to CrossRef Book Series
700 1 _ |a Steffen, Bernhard
|0 P:(DE-Juel1)132269
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773 _ _ |a 10.1007/978-3-319-99813-8_17
856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
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910 1 _ |a Forschungszentrum Jülich
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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 2018
915 _ _ |a DBCoverage
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920 1 _ |0 I:(DE-Juel1)IAS-7-20180321
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920 1 _ |0 I:(DE-Juel1)JSC-20090406
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