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Dynamic Structure in Pedestrian Evacuation: Image Processing Approach

In: Traffic and Granular Flow '13

Author

Listed:
  • Kohta Suzuno

    (Meiji University, Graduate School of Advanced Mathematical Sciences)

  • Akiyasu Tomoeda

    (Meiji University, Meiji Institute for Advanced Study of Mathematical Sciences
    Japan Science and Technology Agency, CREST)

  • Mayuko Iwamoto

    (Meiji University, Graduate School of Advanced Mathematical Sciences)

  • Daishin Ueyama

    (Meiji University, Graduate School of Advanced Mathematical Sciences)

Abstract

We show that there exists a typical dynamic arch-shape structure in pedestrian evacuation system governed by the social force model. It is well known that the simulation of pedestrian evacuation from a square room using the social force model shows arch-shape formation and clogging in front of the exit. It is also known experimentally and numerically that an obstacle near the exit could improve the flow rate, but detailed mechanism of this effect is not clear. In this paper, we show the existence of the “dynamic arch”, the typical structure in the long term, by using the social force model and the image processing. The time-averaged image of the system shows us the existence of the typical structure in the system and it can be interpreted as the probability distribution of the arch formation. With this method, we discuss the possible physical mechanism of the effect of an obstacle in the pedestrian system. From the observation of the morphological feature of the arch obtained by the simulation and image processing, we show that the obstacle affects the structure of the arch in three ways. These effects could lead the easy-to-break arch that enhances the flow rate of the system.

Suggested Citation

  • Kohta Suzuno & Akiyasu Tomoeda & Mayuko Iwamoto & Daishin Ueyama, 2015. "Dynamic Structure in Pedestrian Evacuation: Image Processing Approach," Springer Books, in: Mohcine Chraibi & Maik Boltes & Andreas Schadschneider & Armin Seyfried (ed.), Traffic and Granular Flow '13, edition 127, pages 195-201, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-10629-8_23
    DOI: 10.1007/978-3-319-10629-8_23
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