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Crowd Evacuation through Crossing Configurations: Effect of Crossing Angles and Walking Speeds on Speed Variation and Evacuation Time

Author

Listed:
  • Shabna SayedMohammed

    (Department of Civil & Architectural Engineering, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Anshi Verma

    (Department of Civil & Architectural Engineering, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Charitha Dias

    (Department of Civil & Architectural Engineering, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar
    Qatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Wael Alhajyaseen

    (Department of Civil & Architectural Engineering, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar
    Qatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Abdulkarim Almukdad

    (Qatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Kayvan Aghabayk

    (School of Civil Engineering, College of Engineering, University of Tehran, Tehran 111554563, Iran)

Abstract

The design of safe and efficient pedestrian facilities necessitates the knowledge of complex human movements, such as intersecting pedestrian streams, under different conditions. This study aims to experimentally investigate the impact of intersecting angles on collective crowd dynamics under two different urgency levels. Data were collected from a controlled laboratory experiment with scenarios consisting of three intersection angles (30°, 90°, and 150°) and two desired speed levels (normal walking and slow running). Trajectory data of individual experiment participants were extracted from the recorded video footage. The results indicate that the 30° intersection has the lowest bottleneck effect compared to the other angles. Moreover, the time-to-target analysis shows that the 150° intersection has a higher waiting time at the intersection compared to the other angles for the jogging scenarios. The speed distribution and space utilization maps implied an asymmetrical reduction in speed in the two corridors of the intersection, even though the physical and geometrical configurations are symmetric. The lane-based analysis of collective speeds revealed that the inner lane (the lane that initially encounters the intersecting flow) has the maximum reduction in speed. The outcomes of this study may be useful to evaluate the congestion effects associated with crossing configurations and in calibrating and validating simulation tools to reproduce such effects accurately.

Suggested Citation

  • Shabna SayedMohammed & Anshi Verma & Charitha Dias & Wael Alhajyaseen & Abdulkarim Almukdad & Kayvan Aghabayk, 2022. "Crowd Evacuation through Crossing Configurations: Effect of Crossing Angles and Walking Speeds on Speed Variation and Evacuation Time," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15366-:d:977195
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    References listed on IDEAS

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    1. Lin, Peng & Ma, Jian & Liu, Tian Yang & Ran, Tong & Si, You Liang & Wu, Fan Yu & Wang, Guo Yuan, 2017. "An experimental study of the impact of an obstacle on the escape efficiency by using mice under high competition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 228-242.
    2. Cao, Shuchao & Lian, Liping & Chen, Mingyi & Yao, Ming & Song, Weiguo & Fang, Zhiming, 2018. "Investigation of difference of fundamental diagrams in pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 661-670.
    3. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    4. Zhang, J. & Seyfried, A., 2014. "Comparison of intersecting pedestrian flows based on experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 316-325.
    5. Shiwakoti, Nirajan & Sarvi, Majid, 2013. "Understanding pedestrian crowd panic: a review on model organisms approach," Journal of Transport Geography, Elsevier, vol. 26(C), pages 12-17.
    6. Shiwakoti, Nirajan & Sarvi, Majid & Rose, Geoff & Burd, Martin, 2011. "Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1433-1449.
    7. Haghani, Milad & Sarvi, Majid, 2018. "Crowd behaviour and motion: Empirical methods," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 253-294.
    8. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    9. Kayvan Aghabayk & Kiarash Radmehr & Nirajan Shiwakoti, 2020. "Effect of Intersecting Angle on Pedestrian Crowd Flow under Normal and Evacuation Conditions," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    10. Bode, Nikolai W.F. & Chraibi, Mohcine & Holl, Stefan, 2019. "The emergence of macroscopic interactions between intersecting pedestrian streams," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 197-210.
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