| Home > Publications database > Multiscale Simulation of Pedestrians for Faster Than Real Time Modeling in Large Events > print |
| 001 | 156156 | ||
| 005 | 20210129214223.0 | ||
| 020 | _ | _ | |a 978-3-319-11519-1 (print) |
| 020 | _ | _ | |a 978-3-319-11520-7 (electronic) |
| 024 | 7 | _ | |a 10.1007/978-3-319-11520-7_51 |2 doi |
| 024 | 7 | _ | |a 1611-3349 |2 ISSN |
| 024 | 7 | _ | |a 0302-9743 |2 ISSN |
| 037 | _ | _ | |a FZJ-2014-05014 |
| 082 | _ | _ | |a 004 |
| 100 | 1 | _ | |a Steffen, Bernhard |0 P:(DE-Juel1)132269 |b 0 |e Corresponding Author |u fzj |
| 111 | 2 | _ | |a 11th International Conference on Cellular Automata for Research and Industry |g ACRI |c Krakow |d 2014-09-22 - 2014-09-24 |w Poland |
| 245 | _ | _ | |a Multiscale Simulation of Pedestrians for Faster Than Real Time Modeling in Large Events |
| 260 | _ | _ | |a Cham |c 2014 |b Springer International Publishing |
| 295 | 1 | 0 | |a Cellular Automata |
| 300 | _ | _ | |a 492 - 500 |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1422019348_25055 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 490 | 0 | _ | |a Lecture Notes in Computer Science |v 8751 |
| 520 | _ | _ | |a The Hermes project [1] demonstrated the usefulness of on site faster than real time simulations of probable evacuation scenarios for security personnel. However, the hardware needed was prohibitively expensive [2]. The present paper shows that a multiscale approach can perform the simulation in a fraction of time without loss of useful information. The main problem is the correct passing of agents from a coarse scale model to a fine scale model, here from a CA model to a force based model. This will be achieved by inserting agents into the force based model at positions and speeds optimized for smooth walking either by a priori information or using Voronoi cells. Connecting a Queue model to a continuous model has already been done successfully [3].We also show that a slightly modified CA method can address the problem, too, at even less computational cost, with some possible loss of accuracy. |
| 536 | _ | _ | |a 411 - Computational Science and Mathematical Methods (POF2-411) |0 G:(DE-HGF)POF2-411 |c POF2-411 |f POF II |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef Book, juser.fz-juelich.de |
| 700 | 1 | _ | |a Chraibi, Mohcine |0 P:(DE-Juel1)132077 |b 1 |u fzj |
| 773 | _ | _ | |a 10.1007/978-3-319-11520-7_51 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/156156/files/FZJ-2014-05014.pdf |y Restricted |
| 909 | C | O | |o oai:juser.fz-juelich.de:156156 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)132269 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)132077 |
| 913 | 2 | _ | |a DE-HGF |b Key Technologies |l Supercomputing & Big Data |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Schlüsseltechnologien |l Supercomputing |1 G:(DE-HGF)POF2-410 |0 G:(DE-HGF)POF2-411 |2 G:(DE-HGF)POF2-400 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF2 |
| 914 | 1 | _ | |y 2014 |
| 915 | _ | _ | |a No Peer review |0 StatID:(DE-HGF)0020 |2 StatID |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a contb |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|