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| 001 | 824905 | ||
| 005 | 20210129225142.0 | ||
| 024 | 7 | _ | |a 10.1007/978-3-319-33482-0_10 |2 doi |
| 037 | _ | _ | |a FZJ-2016-07407 |
| 100 | 1 | _ | |a Liao, Weichen |0 P:(DE-Juel1)161133 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a Traffic and Granular Flow |g TGF15 |c Delft |d 2015-10-28 - 2015-10-30 |w Neederlands |
| 245 | _ | _ | |a Detection of Steady State in Pedestrian Experiments |
| 260 | _ | _ | |a Cham |c 2016 |b Springer International Publishing |
| 295 | 1 | 0 | |a Traffic and Granular Flow '15 / Knoop, Victor L. (Editor), Chapter 10 ; ISBN: 978-3-319-33481-3 |
| 300 | _ | _ | |a 73 - 79 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1481719417_12861 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
| 520 | _ | _ | |a Initial conditions could have strong influences on the dynamics of pedestrian experiments. Thus, a careful differentiation between transient state and steady state is important and necessary for a thorough study. In this contribution a modified CUSUM algorithm is proposed to automatically detect steady state from time series of pedestrian experiments. Major modifications on the statistics include introducing a step function to enhance the sensitivity, adding a boundary to limit the increase, and simplifying the calculation to improve the computational efficiency. Furthermore, the threshold of the detection parameter is calibrated using an autoregressive process. By testing the robustness, the modified CUSUM algorithm is able to reproduce identical steady state with different references. Its application well contributes to accurate analysis and reliable comparison of experimental results. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef Book |
| 700 | 1 | _ | |a Tordeux, Antoine |0 P:(DE-Juel1)159135 |b 1 |
| 700 | 1 | _ | |a Seyfried, Armin |0 P:(DE-Juel1)132266 |b 2 |
| 700 | 1 | _ | |a Chraibi, Mohcine |0 P:(DE-Juel1)132077 |b 3 |
| 700 | 1 | _ | |a Zheng, Xiaoping |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Zhao, Ying |0 P:(DE-HGF)0 |b 5 |
| 773 | _ | _ | |a 10.1007/978-3-319-33482-0_10 |
| 909 | C | O | |o oai:juser.fz-juelich.de:824905 |p VDB |
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| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)159135 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)132266 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)132077 |
| 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 No Authors Fulltext |0 StatID:(DE-HGF)0550 |2 StatID |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
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| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a contb |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
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