Gast ::
| Hauptseite > Publikationsdatenbank > Multiscale simulation of pedestrians for efficient predictive modeling in large events > print |
| Hauptseite > Publikationsdatenbank > Multiscale simulation of pedestrians for efficient predictive modeling in large events > print |
| 001 | 811280 | ||
| 005 | 20210129223822.0 | ||
| 024 | 7 | _ | |a WOS:000385016800004 |2 WOS |
| 037 | _ | _ | |a FZJ-2016-03781 |
| 082 | _ | _ | |a 004 |
| 100 | 1 | _ | |a Chraibi, Mohcine |0 P:(DE-Juel1)132077 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a Multiscale simulation of pedestrians for efficient predictive modeling in large events |
| 260 | _ | _ | |a Philadelphia, Pa. |c 2016 |b Old City Publishing |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1468238959_10642 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 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]. 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. The resulting model is easily parallelised using OpenMP, achieving reasonable efficiency.We also show how a CA method can be modified to address the problem better than standard CA, too. However, this approach needs further development and calibration to be reliable. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
| 700 | 1 | _ | |a Steffen, Bernhard |0 P:(DE-Juel1)132269 |b 1 |u fzj |
| 773 | _ | _ | |0 PERI:(DE-600)2272623-8 |n 4 |p 299-310 |t Journal of cellular automata |v 11 |y 2016 |x 1557-5969 |
| 909 | C | O | |o oai:juser.fz-juelich.de:811280 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)132077 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)132269 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |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 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 914 | 1 | _ | |y 2016 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1160 |2 StatID |b Current Contents - Engineering, Computing and Technology |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b J CELL AUTOM : 2014 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
| 915 | _ | _ | |a No Authors Fulltext |0 StatID:(DE-HGF)0550 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|