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| 001 | 888081 | ||
| 005 | 20210130010809.0 | ||
| 020 | _ | _ | |a 978-3-030-55973-1 |
| 024 | 7 | _ | |2 doi |a 10.1007/978-3-030-55973-1_29 |
| 024 | 7 | _ | |2 Handle |a 2128/26273 |
| 037 | _ | _ | |a FZJ-2020-04658 |
| 100 | 1 | _ | |0 P:(DE-Juel1)145189 |a Schrödter, Tobias |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a Traffic and Granular Flow 2019 |c Pamplona |d 2019-07-02 - 2019-07-05 |g TGF 2019 |w Spain |
| 245 | _ | _ | |a Modeling of Position Finding in Waiting Processes on Platforms |
| 260 | _ | _ | |a Cham |b Springer International Publishing |c 2020 |
| 300 | _ | _ | |a 233-240 |
| 336 | 7 | _ | |2 ORCID |a CONFERENCE_PAPER |
| 336 | 7 | _ | |0 33 |2 EndNote |a Conference Paper |
| 336 | 7 | _ | |2 BibTeX |a INPROCEEDINGS |
| 336 | 7 | _ | |2 DRIVER |a conferenceObject |
| 336 | 7 | _ | |2 DataCite |a Output Types/Conference Paper |
| 336 | 7 | _ | |0 PUB:(DE-HGF)8 |2 PUB:(DE-HGF) |a Contribution to a conference proceedings |b contrib |m contrib |s 1606225212_17526 |
| 336 | 7 | _ | |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |a Contribution to a book |m contb |
| 490 | 0 | _ | |a Springer Proceedings in Physics |v 252 |
| 520 | _ | _ | |a The distribution of passengers waiting for a train is one of the limiting factors when improving the performance of a train station, as it heavily influences the boarding and alighting times of trains. We introduce a probability-based model for the pedestrians' choice of a waiting position. Different factors as the geometry and the positions of other waiting pedestrians are taken into account. To assess the model, simulations on a simplified representation of a platform were used. The results of this simulation show good agreement with observations of previously conducted field studies. |
| 536 | _ | _ | |0 G:(DE-HGF)POF3-511 |a 511 - Computational Science and Mathematical Methods (POF3-511) |c POF3-511 |f POF III |x 0 |
| 536 | _ | _ | |0 G:(DE-Juel-1)BMBF-DB001531 |c BMBF-DB001531 |x 1 |a KapaKrit - Optimierung der Verkehrskapazität von Bahnhöfen im Krisen- und Katastrophenfall (BMBF-DB001531) |
| 536 | _ | _ | |0 G:(DE-Juel1)PHD-NO-GRANT-20170405 |x 2 |c PHD-NO-GRANT-20170405 |a PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405) |
| 700 | 1 | _ | |0 P:(DE-Juel1)132077 |a Chraibi, Mohcine |b 1 |u fzj |
| 700 | 1 | _ | |0 P:(DE-Juel1)132266 |a Seyfried, Armin |b 2 |u fzj |
| 773 | _ | _ | |a 10.1007/978-3-030-55973-1_29 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/888081/files/TGF2019_065_original_v4.pdf |y OpenAccess |
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| 913 | 1 | _ | |0 G:(DE-HGF)POF3-511 |1 G:(DE-HGF)POF3-510 |2 G:(DE-HGF)POF3-500 |a DE-HGF |b Key Technologies |v Computational Science and Mathematical Methods |x 0 |l Supercomputing & Big Data |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2020 |
| 915 | _ | _ | |0 StatID:(DE-HGF)0510 |2 StatID |a OpenAccess |
| 920 | 1 | _ | |0 I:(DE-Juel1)IAS-7-20180321 |k IAS-7 |l Zivile Sicherheitsforschung |x 0 |
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| 980 | _ | _ | |a VDB |
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