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005 | 20220419125825.0 | ||
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100 | 1 | _ | |a Xu, Qiancheng |0 P:(DE-Juel1)173880 |b 0 |e Corresponding author |
245 | _ | _ | |a Anticipation in a velocity-based model for pedestrian dynamics |
260 | _ | _ | |a Amsterdam [u.a.] |c 2021 |b Elsevier Science |
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 1637850402_14846 |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 Lane formation in bidirectional pedestrian streams is based on a stimulus-response mech-anism and strategies of navigation in a fast-changing environment. Although microscopicmodels that only guarantee volume exclusion can qualitatively reproduce this phenomenon,they are not sufficient for a quantitative description. To quantitatively describe this phe-nomenon, a minimal anticipatory collision-free velocity model is introduced. Compared tothe original velocity model, the new model reduces the occurrence of gridlocks and repro-duces the movement of pedestrians more realistically. For a quantitative description of thephenomenon, the definition of an order parameter is used to describe the formation of lanesat transient states and to show that the proposed model compares relatively well with ex-perimental data. Furthermore, the model is validated by the experimental fundamentaldiagrams of bidirectional flows |
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588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
700 | 1 | _ | |a Chraibi, Mohcine |0 P:(DE-Juel1)132077 |b 1 |
700 | 1 | _ | |a Seyfried, Armin |0 P:(DE-Juel1)132266 |b 2 |
773 | _ | _ | |a 10.1016/j.trc.2021.103464 |g Vol. 133, p. 103464 - |0 PERI:(DE-600)2015891-9 |p 103464 - |t Transportation research / C |v 133 |y 2021 |x 0968-090X |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/902712/files/2107.00624.pdf |y OpenAccess |
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