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Fundamental Diagrams of Single-File Pedestrian Flow for Different Age Groups

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Advances in Swarm Intelligence (ICSI 2016)

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Abstract

In this paper properties of pedestrian movement are investigated with series of single-file experiments by considering the age composition of the crowd. Pedestrian trajectories with different age groups (young students group, old people group and mixed group) are extracted from the software PeTrack. It is found that the free velocity and maximum specific flow of young student group are the largest among three groups due to different mobility between young students and old people. More interestingly, the maximum specific flow of mixed group is smaller than that of old group, which indicates the jam occurs more easily in crowd composed of people with different movement abilities than that with homogeneous composition. At last, a nondimensional method considering pedestrian free velocity and body size is used to scale the fundamental diagrams for different age groups. The study is helpful to understand evolution of pedestrian dynamics with different ages.

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References

  1. Helbing, D., Molnar, P., Farkas, I.J., Bolay, K.: Self-organizing pedestrian movement. Environ. Plann. B 28, 361–384 (2001)

    Article  Google Scholar 

  2. Burger, M., Markowich, P., Pietschmann, J.F.: Continuous limit of a crowd motion and herding model: analysis and numerical simulations. Kinet. Relat. Models 4, 1025–1047 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  3. Song, W.G., Lv, W., Fang, Z.M.: Experiment and modeling of microscopic movement characteristic of pedestrians. Procedia Eng. 62, 56–70 (2013)

    Article  Google Scholar 

  4. Portz, A., Seyfried, A.: Analyzing stop-and-go waves by experiment and modeling. In: Peacock, R.D., Kuligowski, E.D., Averill, J.D. (eds.) Pedestrian and Evacuation Dynamics, pp. 577–586. Springer, New York (2011)

    Chapter  Google Scholar 

  5. Shimura, K., Ohtsuka, K., Vizzari, G., Nishinari, K., Bandini, S.: Mobility analysis of the aged pedestrians by experiment and simulation. Pattern Recogn. Lett. 44, 58–63 (2014)

    Article  Google Scholar 

  6. Kholshchevnikov, V.V., Samoshin, D.A., Parfyonenko, A.P., Belosokhov, I.P.: Study of children evacuation from pre-school education institutions. Fire Mater. 36, 349–366 (2012)

    Article  Google Scholar 

  7. Cuesta, A., Gwynne, S.: The collection and compilation of school evacuation data for model use. Saf. Sci. 84, 24–36 (2016)

    Article  Google Scholar 

  8. Kuligowski, E., Peacock, R., Wiess, E., Hoskins, B.: Stair evacuation of people with mobility impairments. Fire Mater. 39, 371–384 (2015)

    Article  Google Scholar 

  9. Seyfried, A., Steffen, B., Klingsch, W., Boltes, M.: The fundamental diagram of pedestrian movement revisited. J. Stat. Mech.: Theory Exp. 10, P10002 (2005)

    Article  Google Scholar 

  10. Fang, Z.M., Song, W.G.: A continuous distance model (CDM) for the single-file pedestrian movement considering step frequency and length. Phys. A 391, 307–316 (2012)

    Article  Google Scholar 

  11. Jelić, A., Appert, R.C., Lemercier, S., Pettré, J.: Properties of pedestrians walking in line: Fundamental diagrams. Phys. Rev. E 85, 036111 (2012)

    Article  Google Scholar 

  12. Boltes, M., Seyfried, A., Steffen, B., Schadschneider, A.: Automatic extraction of pedestrian trajectories from video recordings. In: Klingsch, W.W.F., Rogsch, C., Schadschneider, A., Schreckenberg, M. (eds.) Pedestrian and Evacuation Dynamics 2008, pp. 43–54. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  13. Boltes, M., Seyfried, A.: Collecting pedestrian trajectories. Neurocomputing 100, 127–133 (2013)

    Article  Google Scholar 

  14. Steffen, B., Seyfried, A.: Methods for measuring pedestrian density, flow, speed and direction with minimal scatter. Phys. A 389, 1902–1910 (2010)

    Article  Google Scholar 

  15. Zhang, J., Mehner, W., Holl, S., Boltes, M., Andresen, E., Schadschneider, A., Seyfried, A.: Universal flow-density relation of single-file bicycle, pedestrian and car motion. Phys. Lett. A 378, 3274–3277 (2014)

    Article  Google Scholar 

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Acknowledgments

The foundation supports from the State Key Laboratory of Fire Science in University of Science and Technology of China (HZ2015-KF11).

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Correspondence to Jun Zhang .

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Cao, S., Zhang, J., Salden, D., Ma, J. (2016). Fundamental Diagrams of Single-File Pedestrian Flow for Different Age Groups. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2016. Lecture Notes in Computer Science(), vol 9712. Springer, Cham. https://doi.org/10.1007/978-3-319-41000-5_15

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  • DOI: https://doi.org/10.1007/978-3-319-41000-5_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40999-3

  • Online ISBN: 978-3-319-41000-5

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