Experimental study on the effect of background music on pedestrian movement at high density

Physics Letters A - Tập 383 - Trang 1011-1018 - 2019
Guang Zeng1,2, Andreas Schadschneider2, Jun Zhang1, Shibo Wei3, Weiguo Song1, Rui Ba1
1State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China
2Institute for Theoretical Physics, University of Cologne, Cologne 50937, Germany
3School of Engineering Science, University of Science and Technology of China, Hefei, 230027, China

Tài liệu tham khảo

Yanagisawa, 2012, Improvement of pedestrian flow by slow rhythm, Phys. Rev. E, Stat. Nonlinear Soft Matter Phys., 85, 10.1103/PhysRevE.85.016111 Leman, 2013, Activating and relaxing music entrains the speed of beat synchronized walking, PLoS ONE, 8, 10.1371/journal.pone.0067932 Styns, 2007, Walking on music, Hum. Mov. Sci., 26, 769, 10.1016/j.humov.2007.07.007 Ikeda, 2017, Steady beat sound facilitates both coordinated group walking and inter-subject neural synchrony, Front. Human Neurosci., 11, 147, 10.3389/fnhum.2017.00147 Mendonca, 2014, The effect of instruction to synchronize over step frequency while walking with auditory cues on a treadmill, Hum. Mov. Sci., 33, 33, 10.1016/j.humov.2013.11.006 Sejdic, 2013, The effects of listening to music or viewing television on human gait, Comput. Biol. Med., 43, 1497, 10.1016/j.compbiomed.2013.07.019 Franek, 2014, Tempo and walking speed with music in the urban context, Front. Psychol., 5, 1361 Seyfried, 2010, Phase coexistence in congested states of pedestrian dynamics, 496 Jelic, 2012, Properties of pedestrians walking in line: fundamental diagrams, Phys. Rev. E, Stat. Nonlinear Soft Matter Phys., 85, 10.1103/PhysRevE.85.036111 Cao, 2016, Pedestrian dynamics in single-file movement of crowd with different age compositions, Phys. Rev. E, 94, 10.1103/PhysRevE.94.012312 Fang, 2012, A continuous distance model (CDM) for the single-file pedestrian movement considering step frequency and length, Physica A, 391, 307, 10.1016/j.physa.2011.08.009 Boltes, 2013, Collecting pedestrian trajectories, Neurocomputing, 100, 127, 10.1016/j.neucom.2012.01.036 Boltes, 2010, 43 Zhang, 2014, Universal flow-density relation of single-file bicycle, pedestrian and car motion, Phys. Lett. A, 378, 3274, 10.1016/j.physleta.2014.09.039 Helbing, 2007, Dynamics of crowd disasters: an empirical study, Phys. Rev. E, Stat. Nonlinear Soft Matter Phys., 75, 10.1103/PhysRevE.75.046109 Johansson, 2009, Constant-net-time headway as a key mechanism behind pedestrian flow dynamics, Phys. Rev. E, 80, 10.1103/PhysRevE.80.026120 Ziemer, 2016, Congestion dynamics in pedestrian single-file motion, 89 Portz, 2011, Analyzing stop-and-go waves by experiment and modeling, 577 Eilhardt, 2014, Stochastic headway dependent velocity model for 1d pedestrian dynamics at high densities, Transp. Res. Proc., 2, 400, 10.1016/j.trpro.2014.09.043 Zeng, 2018, Experimental and modeling study on relation of pedestrian step length and frequency under different headways, Physica A, 500, 237, 10.1016/j.physa.2018.02.095 Lang, 2016, Lost in the rhythm: effects of rhythm on subsequent interpersonal coordination, Cogn. Sci., 40, 1797, 10.1111/cogs.12302 Lv, 2013, A two-dimensional optimal velocity model for unidirectional pedestrian flow based on pedestrian's visual hindrance field, IEEE Trans. Intell. Transp. Syst., 14, 1753, 10.1109/TITS.2013.2266340 Feliciani, 2016, Empirical analysis of the lane formation process in bidirectional pedestrian flow, Phys. Rev. E, 94, 10.1103/PhysRevE.94.032304 Jelić, 2012, Properties of pedestrians walking in line. II. Stepping behavior, Phys. Rev. E, 86, 10.1103/PhysRevE.86.046111 Helbing, 2005, Self-organized pedestrian crowd dynamics: experiments, simulations, and design solutions, Transp. Sci., 39, 1, 10.1287/trsc.1040.0108 Jelic, 2012, Properties of pedestrians walking in line. II. Stepping behavior, Phys. Rev. E, Stat. Nonlinear Soft Matter Phys., 86, 10.1103/PhysRevE.86.046111