Spatial-temporal patterns and pedestrian simulation.

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Title: Spatial-temporal patterns and pedestrian simulation.
Authors: Nan Hu HUNA0002@ntu.edu.sg, Suiping Zhou, Zhongke Wu, Mingquan Zhou, Benjamin Eng Keong Cho
Source: Computer Animation & Virtual Worlds. May2010, Vol. 21 Issue 3/4, p387-399. 13p. 3 Color Photographs, 5 Diagrams.
Subjects: Computer simulation, Computational steering (Computer science), Virtual reality, Pedestrians, Computer graphics, Education
Abstract: In this paper, we propose a framework for modeling lower-level pedestrian navigational behaviors. We aim not only to generate realistic simulation results but also to make our framework flexible and extendible, and easy to use for model developers. A divide-and-conquer methodology is first adopted to divide the complex navigational behaviors into three levels, which allows us to focus on the intermediate level. We then propose a pattern-based framework for modeling pedestrian navigational behavior at this level. In our framework, spatial-temporal patterns are used to represent the situational perception, and a pattern-matching mechanism is proposed to model the navigational choices of individual pedestrians. To demonstrate the effectiveness of our framework, a computational model is constructed to simulate pedestrian behaviors in a corridor with medium to relatively high density of pedestrians. Simulation results with this model are summarized in this paper. Copyright © 2010 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
Copyright of Computer Animation & Virtual Worlds is the property of Wiley-Blackwell 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.)
Database: Engineering Source
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  Data: <searchLink fieldCode="AR" term="%22Nan+Hu%22">Nan Hu</searchLink><i> HUNA0002@ntu.edu.sg</i><br /><searchLink fieldCode="AR" term="%22Suiping+Zhou%22">Suiping Zhou</searchLink><br /><searchLink fieldCode="AR" term="%22Zhongke+Wu%22">Zhongke Wu</searchLink><br /><searchLink fieldCode="AR" term="%22Mingquan+Zhou%22">Mingquan Zhou</searchLink><br /><searchLink fieldCode="AR" term="%22Benjamin+Eng+Keong+Cho%22">Benjamin Eng Keong Cho</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Animation+%26+Virtual+Worlds%22">Computer Animation & Virtual Worlds</searchLink>. May2010, Vol. 21 Issue 3/4, p387-399. 13p. 3 Color Photographs, 5 Diagrams.
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  Data: In this paper, we propose a framework for modeling lower-level pedestrian navigational behaviors. We aim not only to generate realistic simulation results but also to make our framework flexible and extendible, and easy to use for model developers. A divide-and-conquer methodology is first adopted to divide the complex navigational behaviors into three levels, which allows us to focus on the intermediate level. We then propose a pattern-based framework for modeling pedestrian navigational behavior at this level. In our framework, spatial-temporal patterns are used to represent the situational perception, and a pattern-matching mechanism is proposed to model the navigational choices of individual pedestrians. To demonstrate the effectiveness of our framework, a computational model is constructed to simulate pedestrian behaviors in a corridor with medium to relatively high density of pedestrians. Simulation results with this model are summarized in this paper. Copyright © 2010 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Animation & Virtual Worlds is the property of Wiley-Blackwell 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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        Value: 10.1002/cav.341
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        Text: English
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        PageCount: 13
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        Type: general
      – SubjectFull: Computational steering (Computer science)
        Type: general
      – SubjectFull: Virtual reality
        Type: general
      – SubjectFull: Pedestrians
        Type: general
      – SubjectFull: Computer graphics
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            NameFull: Zhongke Wu
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            NameFull: Benjamin Eng Keong Cho
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              M: 05
              Text: May2010
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              Y: 2010
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