1932

Abstract

Understanding the behavior of human crowds is a key step toward a safer society and more livable cities. Despite the individual variability and will of single individuals, human crowds, from dilute to dense, invariably display a remarkable set of universal features and statistically reproducible behaviors. Here, we review ideas and recent progress in employing the language and tools from physics to develop a deeper understanding about the dynamics of pedestrians.

Loading

Article metrics loading...

/content/journals/10.1146/annurev-conmatphys-031620-100450
2023-03-10
2024-06-15
Loading full text...

Full text loading...

/deliver/fulltext/conmatphys/14/1/annurev-conmatphys-031620-100450.html?itemId=/content/journals/10.1146/annurev-conmatphys-031620-100450&mimeType=html&fmt=ahah

Literature Cited

  1. 1.
    Hughes RL. 2003. Annu. Rev. Fluid Mech. 35:16982
    [Google Scholar]
  2. 2.
    Marchetti MC, Joanny JF, Ramaswamy S, Liverpool TB, Prost J et al. 2013. Rev. Mod. Phys. 85:3114389
    [Google Scholar]
  3. 3.
    Cristiani E, Piccoli B, Tosin A. 2014. Multiscale Modeling of Pedestrian Dynamics, Vol. 12 Modeling, Simulation and Applications Cham, Switz.: Springer
    [Google Scholar]
  4. 4.
    Bellomo N, Piccoli B, Tosin A. 2012. Math. Models Methods Appl. Sci. 221230004
    [Google Scholar]
  5. 5.
    Duives DC, Daamen W, Hoogendoorn SP. 2013. Transp. Res. C Emerg. Technol. 37:193209
    [Google Scholar]
  6. 6.
    Helbing D. 2001. Rev. Mod. Phys. 73:41067141
    [Google Scholar]
  7. 7.
    Bain N, Bartolo D. 2019. Science 363:64224649
    [Google Scholar]
  8. 8.
    Boltes M, Seyfried A. 2013. Neurocomputing 100:12733
    [Google Scholar]
  9. 9.
    Feliciani C, Nishinari K. 2016. Phys. Rev. E 94:032304
    [Google Scholar]
  10. 10.
    Moussaid M, Guillot EG, Moreau M, Fehrenbach J, Chabiron O et al. 2012. PLOS Comput. Biol. 8:3e1002442
    [Google Scholar]
  11. 11.
    Zhang J, Seyfried A. 2014. Phys. A Stat. Mech. Appl. 405:31625
    [Google Scholar]
  12. 12.
    Zhang J, Seyfried A. 2014. 17th International IEEE Conference on Intelligent Transportation Systems (ITSC)54247. Piscataway, NJ: IEEE https://doi:10.1109/ITSC.2014.6957746
    [Google Scholar]
  13. 13.
    Garcimartín Á, Parisi DR, Pastor JM, Martín-Gómez C, Zuriguel I. 2016. J. Stat. Mech. Theory Exp. 2016:043402
    [Google Scholar]
  14. 14.
    Seer S, Brändle N, Ratti C. 2014. Transp. Res. C Emerg. Technol. 48:21228
    [Google Scholar]
  15. 15.
    Brščić D, Zanlungo F, Kanda T. 2014. Transp. Res. Procedia 2:7786
    [Google Scholar]
  16. 16.
    Brščić D, Kanda T, Ikeda T, Miyashita T. 2013. IEEE Trans. Human-Mach. Syst. 43:652234
    [Google Scholar]
  17. 17.
    Corbetta A, Meeusen JA, Lee C, Benzi R, Toschi F. 2018. Phys. Rev. E 98:062310
    [Google Scholar]
  18. 18.
    Corbetta A, Lee C, Muntean A, Toschi F. 2017. Collect. Dyn. 1:A10
    [Google Scholar]
  19. 19.
    Pouw CA, Toschi F, van Schadewijk F, Corbetta A. 2020. PLOS ONE 15:10e0240963
    [Google Scholar]
  20. 20.
    Helbing D, Molnár P. 1995. Phys. Rev. E 51:5428286
    [Google Scholar]
  21. 21.
    Burstedde C, Klauck K, Schadschneider A, Zittartz J. 2001. Phys. A Stat. Mech. Appl. 295:3/450725
    [Google Scholar]
  22. 22.
    Hankin B, Wright RA. 1958. J. Oper. Res. Soc. 9:28188
    [Google Scholar]
  23. 23.
    Predtechenskii VM, Milinskii AI 1978. Planning for Foot Traffic Flow in Buildings Washington, DC: National Bureau of Standards, US Department of Commerce, and the National Science Foundation
    [Google Scholar]
  24. 24.
    Johansson A, Helbing D, Shukla P. 2007. Adv. Complex Syst. 10:27188
    [Google Scholar]
  25. 25.
    Centorrino P, Corbetta A, Cristiani E, Onofri E. 2021. J. Comput. Sci. 53:101357
    [Google Scholar]
  26. 26.
    Piccialli F, Yoshimura Y, Benedusi P, Ratti C, Cuomo S. 2020. Neural Comput. Appl. 32:127785801
    [Google Scholar]
  27. 27.
    Rutten P, Lees MH, Klous S, Sloot PM. 2021. Phys. A Stat. Mech. Appl. 563:125448
    [Google Scholar]
  28. 28.
    van den Heuvel J, Voskamp A, Daamen W, Hoogendoorn SP 2015. Proceedings of Traffic and Granular Flow, Vol. 13 M Chraibi, M Boltes, A Schadschneider, A Seyfried 7382. Cham, Switz: Springer
    [Google Scholar]
  29. 29.
    Adrian RJ, Westerweel J. 2011. Particle Image Velocimetry Cambridge, UK: Cambridge Univ. Press
    [Google Scholar]
  30. 30.
    Baker S, Scharstein D, Lewis J, Roth S, Black MJ, Szeliski R. 2011. Int. J. Comput. Vis. 92:131
    [Google Scholar]
  31. 31.
    Baqui M, Löhner R. 2019. IEEE Trans. Intel. Transp. Syst. 21:258089
    [Google Scholar]
  32. 32.
    Helbing D, Johansson A, Al-Abideen HZ. 2007. Phys. Rev. E 75:046109
    [Google Scholar]
  33. 33.
    Parisi DR, Sartorio AG, Colonnello JR, Garcimartín A, Pugnaloni LA, Zuriguel I. 2021. PNAS 118:50e2107827118
    [Google Scholar]
  34. 34.
    Marsden M, McGuinness K, Little S, O'Connor NE. 2017. Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), Vol. 52733. Setúbal, Port.: SciTePress
    [Google Scholar]
  35. 35.
    Yamamoto H, Yanagisawa D, Feliciani C, Nishinari K. 2019. Transp. Res. B Methodol. 122:486510
    [Google Scholar]
  36. 36.
    Boltes M, Holl S, Tordeux A, Seyfried A, Schadschneider A, Lang U 2016. Proceedings of Pedestrian and Evacuation Dynamics 2016 W Song, J Ma, L Fu 54047. Hefei, China: Univ. Sci. Technol. China
    [Google Scholar]
  37. 37.
    Seyfried A, Passon O, Steffen B, Boltes M, Rupprecht T, Klingsch W. 2009. Transp. Sci. 43:3395406
    [Google Scholar]
  38. 38.
    Corbetta A, Meeusen J, Lee C, Toschi F 2016. Proceedings of Pedestrian and Evacuation Dynamics 2016 W Song, J Ma, L Fu 1824. Hefei, China: Univ. Sci. Technol. China
    [Google Scholar]
  39. 39.
    Kroneman W, Corbetta A, Toschi F. 2020. Collect. Dyn. 5:3340
    [Google Scholar]
  40. 40.
    Sparnaaij M, Duives DC, Hoogendoorn SP 2020. Traffic and Granular Flow 2019 I Zuriguel, A Garcimartín, RC Hidalgo 24955. Cham, Switz.: Springer
    [Google Scholar]
  41. 41.
    Willems J, Corbetta A, Menkovski V, Toschi F. 2020. Sci. Rep. 10:11653
    [Google Scholar]
  42. 42.
    Boltes M, Adrian J, Raytarowski AK 2021. Sensors 21:62108
    [Google Scholar]
  43. 43.
    Zhang J, Mehner W, Holl S, Boltes M, Andresen E et al. 2014. Phys. Lett. A 378:44327477
    [Google Scholar]
  44. 44.
    Weidmann U. 1992. Transporttechnik der Fussgänger. Transporttechnische Eigenschaften des Fussgängerverkehrs, Literaturauswertung. Tech. Rep. ETH Zürich:
    [Google Scholar]
  45. 45.
    Feliciani C, Murakami H, Nishinari K. 2018. PLOS ONE 13:12e0208496
    [Google Scholar]
  46. 46.
    Seyfried A, Steffen B, Klingsch W, Boltes M. 2005. J. Stat. Mech. Theory Exp. 2005:P10002
    [Google Scholar]
  47. 47.
    Chattaraj U, Seyfried A, Chakroborty P. 2009. Adv. Complex Syst. 12:3393405
    [Google Scholar]
  48. 48.
    Zeng G, Schadschneider A, Zhang J, Wei S, Song W, Ba R. 2019. Phys. Lett. A 383:10101118
    [Google Scholar]
  49. 49.
    Vanumu LD, Ramachandra Rao K, Tiwari G 2017. Eur. Transp. Res. Rev. 9:49
    [Google Scholar]
  50. 50.
    Frisch U, Kolmogorov AN. 1995. Turbulence: The Legacy of A.N. Kolmogorov Cambridge, UK: Cambridge Univ. Press
    [Google Scholar]
  51. 51.
    Hoogendoorn SP, Daamen W, Knoop VL, Steenbakkers J, Sarvi M. 2017. Transp. Res. Procedia 23:48096
    [Google Scholar]
  52. 52.
    Flötteröd G, Lämmel G. 2015. Transp. Res. B Methodol. 71:194212
    [Google Scholar]
  53. 53.
    Ye R, Chraibi M, Liu C, Lian L, Zeng Y et al. 2019. J. Stat. Mech. Theory Exp. 2019:043401
    [Google Scholar]
  54. 54.
    Lian L, Mai X, Song W, Richard YKK, Wei X, Ma J 2015. J. Stat. Mech. Theory Exp. 2015:P08024
    [Google Scholar]
  55. 55.
    Zhang J, Klingsch W, Schadschneider A, Seyfried A. 2011. J. Stat. Mech. Theory Exp. 2011:P06004
    [Google Scholar]
  56. 56.
    Murakami H, Feliciani C, Nishiyama Y, Nishinari K. 2021. Sci. Adv. 7:12eabe7758
    [Google Scholar]
  57. 57.
    Karamouzas I, Skinner B, Guy SJ. 2014. Phys. Rev. Lett. 113:238701
    [Google Scholar]
  58. 58.
    Suma Y, Yanagisawa D, Nishinari K. 2012. Phys. A Stat. Mech. Appl. 391:1/224863
    [Google Scholar]
  59. 59.
    Zhang J, Klingsch W, Schadschneider A, Seyfried A. 2012. J. Stat. Mech. Theory Exp. 2012:P02002
    [Google Scholar]
  60. 60.
    Zhang J, Klingsch W, Schadschneider A, Seyfried A. 2009. Bidirectional flow. Data Set, Pedestr. Dyn. Data Arch. Forsch. Jülich, Ger.: https://doi.org/10.34735/ped.2009.12
    [Google Scholar]
  61. 61.
    Pedestr. Dyn. Data Arch. 2005. Data archive of experimental data from studies about pedestrian dynamics. Data Set Pedestr. Dyn. Data Arch. Forsch. Jülich, Ger.: https://ped.fz-juelich.de/da/doku.php?id=start
    [Google Scholar]
  62. 62.
    Jia X, Feliciani C, Yanagisawa D, Nishinari K. 2019. Phys. A Stat. Mech. Appl. 531:121735
    [Google Scholar]
  63. 63.
    Hidalgo RC, Parisi DR, Zuriguel I. 2017. Phys. Rev. E 95:042319
    [Google Scholar]
  64. 64.
    Nicolas A, Kuperman M, Ibañez S, Bouzat S, Appert-Rolland C. 2019. Sci. Rep. 9:105
    [Google Scholar]
  65. 65.
    Pastor JM, Garcimartín A, Gago PA, Peralta JP, Martín-Gómez C et al. 2015. Phys. Rev. E 92:062817
    [Google Scholar]
  66. 66.
    Hoogendoorn SP, Daamen W. 2005. Transp. Sci. 39:214759
    [Google Scholar]
  67. 67.
    Zanlungo F, Yücel Z, Brščić D, Kanda T, Hagita N. 2017. PLOS ONE 12:11e0187253
    [Google Scholar]
  68. 68.
    Moussaïd M, Perozo N, Garnier S, Helbing D, Theraulaz G. 2010. PLOS ONE 5:4e10047
    [Google Scholar]
  69. 69.
    Nicolas A, Hassan FH 2021. Transp. A Transp. Sci. https://doi.org/10.1080/23249935.2021.1970651
    [Google Scholar]
  70. 70.
    Zanlungo F, Ikeda T, Kanda T. 2014. Phys. Rev. E 89:012811
    [Google Scholar]
  71. 71.
    Hoogendoorn SP, Bovy PHL. 2004. Transp. Res. B Methodol. 38:16990
    [Google Scholar]
  72. 72.
    Gabbana A, Toschi F, Ross P, Haans A, Corbetta A. 2022. PNAS Nexus 1:4pgac169
    [Google Scholar]
  73. 73.
    Bittihn S, Schadschneider A. 2021. J. Stat. Mech. Theory Exp. 2021:033401
    [Google Scholar]
  74. 74.
    Johansson A, Helbing D, Al-Abideen HZ, Al-Bosta S. 2008. Adv. Complex Syst. 11:4497527
    [Google Scholar]
  75. 75.
    Arnold VI. 2013. Mathematical Methods of Classical Mechanics New York: Springer
    [Google Scholar]
  76. 76.
    Bellomo N, Dogbe C. 2011. SIAM Rev. 53:340963
    [Google Scholar]
  77. 77.
    Tordeux A, Lämmel G, Hänseler FS, Steffen B. 2018. Transp. Res. C Emerg. Technol. 93:12847
    [Google Scholar]
  78. 78.
    Rendell P. 2016. Turing Machine Universality of the Game of Life Cham, Switz.: Springer
    [Google Scholar]
  79. 79.
    Blue VJ, Adler JL. 2001. Transp. Res. B Methodol. 35:3293312
    [Google Scholar]
  80. 80.
    Rothman DH, Zaleski S. 2004. Lattice-Gas Cellular Automata: Simple Models of Complex Hydrodynamics Cambridge, UK: Cambridge Univ. Press
    [Google Scholar]
  81. 81.
    Lovreglio R, Ronchi E, Nilsson D. 2015. Phys. A Stat. Mech. Appl. 438:30820
    [Google Scholar]
  82. 82.
    Kirchner A, Nishinari K, Schadschneider A. 2003. Phys. Rev. E 67:056122
    [Google Scholar]
  83. 83.
    Feliciani C, Nishinari K. 2016. Phys. A Stat. Mech. Appl. 451:13548
    [Google Scholar]
  84. 84.
    Wei-Guo S, Yan-Fei Y, Bing-Hong W, Wei-Cheng F 2006. Phys. A Stat. Mech. Appl. 371:265866
    [Google Scholar]
  85. 85.
    Zinn-Justin J. 2021. Quantum Field Theory and Critical Phenomena. Oxford, UK: Oxford Univ. Press. , 5th ed..
    [Google Scholar]
  86. 86.
    Corbetta A, Toschi F. 2019. Complexity Science: An Introductioned. M Peletier, R Van Santen, E Steurpp. 32945 Singapore: World Sci.
    [Google Scholar]
  87. 87.
    Dürr D, Bach A. 1978. Commun. Math. Phys. 60:215370
    [Google Scholar]
  88. 88.
    Chraibi M, Kemloh U, Schadschneider A, Seyfried A. 2011. Netw. Heterog. Media 6:3425
    [Google Scholar]
  89. 89.
    Moussaïd M, Helbing D, Theraulaz G. 2011. PNAS 108:17688488
    [Google Scholar]
  90. 90.
    Chraibi M, Seyfried A, Schadschneider A. 2010. Phys. Rev. E 82:046111
    [Google Scholar]
  91. 91.
    Corbetta A, Schilders L, Toschi F 2020. Crowd Dynamics, Vol. 2 Theory, Models, and Applications L Gibelli 3353. New York: Birkhäuser
    [Google Scholar]
  92. 92.
    Lakoba TI, Kaup DJ, Finkelstein NM. 2005. Simulation 81:533952
    [Google Scholar]
  93. 93.
    Moussaïd M, Helbing D, Garnier S, Johansson A, Combe M, Theraulaz G. 2009. Proc. R. Soc. B 276:275562
    [Google Scholar]
  94. 94.
    Rudloff C, Matyus T, Seer S, Bauer D. 2011. Transp. Res. Rec. 2264:1019
    [Google Scholar]
  95. 95.
    Zanlungo F, Ikeda T, Kanda T. 2011. Europhys. Lett. 93:068005
    [Google Scholar]
  96. 96.
    Xu Q, Chraibi M, Seyfried A. 2021. Transp. Res. C Emerg. Technol. 133:103464
    [Google Scholar]
  97. 97.
    Parisi DR, Gilman M, Moldovan H. 2009. Phys. A Stat. Mech. Appl. 388:1736008
    [Google Scholar]
  98. 98.
    Hou L, Liu JG, Pan X, Wang BH. 2014. Phys. A Stat. Mech. Appl. 400:99399
    [Google Scholar]
  99. 99.
    Echeverría-Huarte I, Nicolas A, Hidalgo RC, Garcimartín A, Zuriguel I 2022. Sci. Rep. 12:2647
    [Google Scholar]
  100. 100.
    Xue S, Jiang R, Wong S, Feliciani C, Shi X, Jia B. 2020. Transp. A Transp. Sci. 16:362653
    [Google Scholar]
  101. 101.
    Kwak J, Jo H, Luttinen T, Kosonen I. 2013. Phys. Rev. E 88:062810
    [Google Scholar]
  102. 102.
    Zuriguel I, Parisi DR, Hidalgo RC, Lozano C, Janda A et al. 2014. Sci. Rep. 4:7324
    [Google Scholar]
  103. 103.
    Zanlungo F, Yücel Z, Kanda T. 2020. Collect. Dyn. 5:11825
    [Google Scholar]
  104. 104.
    Zanlungo F, Brščić D, Kanda T. 2015. Phys. Rev. E 91:062810
    [Google Scholar]
  105. 105.
    Xu Q, Chraibi M, Tordeux A, Zhang J. 2019. Phys. A Stat. Mech. Appl. 535:122521
    [Google Scholar]
  106. 106.
    Corbetta A, Lee C, Benzi R, Muntean A, Toschi F. 2017. Phys. Rev. E 95:032316
    [Google Scholar]
  107. 107.
    Zanlungo F, Brščić D, Kanda T. 2014. Transp. Res. Procedia 2:14958
    [Google Scholar]
  108. 108.
    Parisi DR, Negri PA, Bruno L. 2016. Phys. Rev. E 94:022318
    [Google Scholar]
  109. 109.
    Yucel Z, Zanlungo F, Feliciani C, Gregorj A, Kanda T. 2019. PLOS ONE 14:10e0223656
    [Google Scholar]
/content/journals/10.1146/annurev-conmatphys-031620-100450
Loading
/content/journals/10.1146/annurev-conmatphys-031620-100450
Loading

Data & Media loading...

  • Article Type: Review Article
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error