From individual behaviour to an evaluation of the collective evolution of crowds along footbridges.

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Title: From individual behaviour to an evaluation of the collective evolution of crowds along footbridges.
Authors: Bruno, Luca1 luca.bruno@polito.it, Corbetta, Alessandro a.corbetta@tue.nl, Tosin, Andrea2 andrea.tosin@polito.it
Source: Journal of Engineering Mathematics. 11/1/2016, Vol. 101 Issue 1, p153-173. 21p.
Subjects: Footbridges, Pedestrian accidents, Pedestrian traffic flow, Transportation engineering, Structural engineering, Prevention
Abstract: This paper proposes a crowd dynamic macroscopic model grounded on microscopic phenomenological observations which are upscaled by means of a formal mathematical procedure. The actual applicability of the model to real-world problems is tested by considering the pedestrian traffic along footbridges, of interest for Structural and Transportation Engineering. The genuinely macroscopic quantitative description of the crowd flow directly matches the engineering need of bulk results. However, three issues beyond the sole modelling are of primary importance: the pedestrian inflow conditions, the numerical approximation of the equations for non trivial footbridge geometries and the calibration of the free parameters of the model on the basis of in situ measurements currently available. These issues are discussed, and a solution strategy is proposed. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Engineering Mathematics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: From individual behaviour to an evaluation of the collective evolution of crowds along footbridges.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Engineering+Mathematics%22">Journal of Engineering Mathematics</searchLink>. 11/1/2016, Vol. 101 Issue 1, p153-173. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Footbridges%22">Footbridges</searchLink><br /><searchLink fieldCode="DE" term="%22Pedestrian+accidents%22">Pedestrian accidents</searchLink><br /><searchLink fieldCode="DE" term="%22Pedestrian+traffic+flow%22">Pedestrian traffic flow</searchLink><br /><searchLink fieldCode="DE" term="%22Transportation+engineering%22">Transportation engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+engineering%22">Structural engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Prevention%22">Prevention</searchLink>
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  Label: Abstract
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  Data: This paper proposes a crowd dynamic macroscopic model grounded on microscopic phenomenological observations which are upscaled by means of a formal mathematical procedure. The actual applicability of the model to real-world problems is tested by considering the pedestrian traffic along footbridges, of interest for Structural and Transportation Engineering. The genuinely macroscopic quantitative description of the crowd flow directly matches the engineering need of bulk results. However, three issues beyond the sole modelling are of primary importance: the pedestrian inflow conditions, the numerical approximation of the equations for non trivial footbridge geometries and the calibration of the free parameters of the model on the basis of in situ measurements currently available. These issues are discussed, and a solution strategy is proposed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Engineering Mathematics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10665-016-9852-z
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 153
    Subjects:
      – SubjectFull: Footbridges
        Type: general
      – SubjectFull: Pedestrian accidents
        Type: general
      – SubjectFull: Pedestrian traffic flow
        Type: general
      – SubjectFull: Transportation engineering
        Type: general
      – SubjectFull: Structural engineering
        Type: general
      – SubjectFull: Prevention
        Type: general
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      – TitleFull: From individual behaviour to an evaluation of the collective evolution of crowds along footbridges.
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            NameFull: Bruno, Luca
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              M: 11
              Text: 11/1/2016
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