Universität zu Köln

Chraibi, Mohcine ORCID: 0000-0002-0999-6807, Ezaki, Takahiro ORCID: 0000-0003-4175-3028, Tordeux, Antoine ORCID: 0000-0001-5077-0327, Nishinari, Katsuhiro, Schadschneider, Andreas ORCID: 0000-0002-2054-7973 and Seyfried, Armin ORCID: 0000-0001-8888-0978 (2015). Jamming transitions in force-based models for pedestrian dynamics. Phys. Rev. E, 92 (4). COLLEGE PK: AMER PHYSICAL SOC. ISSN 1550-2376

Chraibi, Mohcine ORCID: 0000-0002-0999-6807, Seyfried, Armin ORCID: 0000-0001-8888-0978 and Schadschneider, Andreas ORCID: 0000-0002-2054-7973 (2010). Generalized centrifugal-force model for pedestrian dynamics. Phys. Rev. E, 82 (4). COLLEGE PK: AMER PHYSICAL SOC. ISSN 1550-2376

Knoop, Victor L., Daamen, Winnie, Schadschneider, Andreas and Seyfried, Armin ORCID: 0000-0001-8888-0978 (2018). Special Issue on Vehicular and Pedestrian Traffic Flow from Data to Models. Transportmetrica A, 14 (5). S. 373 - 375. ABINGDON: TAYLOR & FRANCIS LTD. ISSN 2324-9943

Rzezonka, Jonas, Chraibi, Mohcine, Seyfried, Armin ORCID: 0000-0001-8888-0978, Hein, Ben and Schadschneider, Andreas ORCID: 0000-0002-2054-7973 (2022). An attempt to distinguish physical and socio-psychological influences on pedestrian bottleneck. R. Soc. Open Sci., 9 (6). LONDON: ROYAL SOC. ISSN 2054-5703

Schadschneider, Andreas ORCID: 0000-0002-2054-7973 and Seyfried, Armin ORCID: 0000-0001-8888-0978 (2011). EMPIRICAL RESULTS FOR PEDESTRIAN DYNAMICS AND THEIR IMPLICATIONS FOR MODELING. Netw. Heterog. Media, 6 (3). S. 545 - 561. SPRINGFIELD: AMER INST MATHEMATICAL SCIENCES-AIMS. ISSN 1556-181X

Tordeux, Antoine ORCID: 0000-0001-5077-0327, Chraibi, Mohcine ORCID: 0000-0002-0999-6807, Schadschneider, Andreas and Seyfried, Armin ORCID: 0000-0001-8888-0978 (2017). Influence of the number of predecessors in interaction within acceleration-based flow models. J. Phys. A-Math. Theor., 50 (34). BRISTOL: IOP PUBLISHING LTD. ISSN 1751-8121

Tordeux, Antoine, Chraibi, Mohcine, Seyfried, Armin ORCID: 0000-0001-8888-0978 and Schadschneider, Andreas ORCID: 0000-0002-2054-7973 (2020). Prediction of pedestrian dynamics in complex architectures with artificial neural networks. J. Intell. Transport. Syst., 24 (6). S. 556 - 569. PHILADELPHIA: TAYLOR & FRANCIS INC. ISSN 1547-2442