Self-propelled pedestrian dynamics model: Application to passenger movement and infection propagation in airplanes

Physica A: Statistical Mechanics and its Applications

Volumn 465, Issue , 2017, Pages 248-260

  Namilae, S ^a   Srinivasan, A ^b   Mubayi, A ^c   Scotch, M ^c   Pahle, R ^c  

^a EMBRY RIDDLE AERONAUTICAL UNIVERSITY   (United States)

^b Florida State University   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Air travel; Infection spread; Pedestrian movement; Social force model

Indexed keywords

PHYSICS;

AIR TRAVELS; INFECTION SPREAD; INFECTIOUS DISEASE; NUMBER OF CONTACTS; PASSENGER MOVEMENTS; PEDESTRIAN DYNAMICS; PEDESTRIAN MOVEMENT; SOCIAL FORCE MODELS;

AIRCRAFT;

EID: 84984827913     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2016.08.028     Document Type: Article

References (44)

1. [1] Lipsitch, M., Cohen, T., Cooper, B., Robins, J.M., Ma, S., James, L., et al. Transmission dynamics and control of severe acute respiratory syndrome. Science 300:5627 (2003), 1966–1970.
2. [2] Mubayi, A., Zaleta, C.K., Martcheva, M., Castillo-Chavez, C., A cost-based comparison of quarantine strategies for new emerging diseases. Math. Biosci. Eng. 7:3 (2010), 687–717.
3. [3] Fenner, F., Henderson, D.A., Arita, I., Ježek, Z., Ladnyi, I.D., Smallpox and its Eradication. 1998, World Health Organization, Geneva.
4. [4] Donnelly, C.A., Ghani, A.C., Leung, G.M., Hedley, A.J., Fraser, C., et al. Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong. Lancet 361 (2003), 1761–1766.
5. [5] Ferguson, N.M., Donnelly, C.A., Anderson, R.M., Transmission intensity and impact of control policies on the foot and mouth epidemic in Great Britain. Nature 413 (2001), 542–548.
6. [6] Rivers, C.M., Lofgren, E.T., Marathe, M., Eubank, S., Lewis, B.L., Modeling the impact of interventions on an epidemic of ebola in sierra leone and liberia. PLOS Curr. Outbreaks, 2014, 10.1371/currents.outbreaks.fd38dd85078565450b0be3fcd78f5ccf Edition 1.
7. [7] Brewer, D.D., Garrett, S.B., Evaluation of interviewing techniques to enhance recall of sexual and drug injection partners. Sex. Transm. Dis. 28 (2001), 666–677.
8. [8] Farrington, C.P., Whitaker, H.J., Contact surface models for infectious diseases: estimation from serologic survey data. J. Amer. Statist. Assoc. 100 (2005), 370–379.
9. [9] Mikolajczyk, R.T., Kretzschmar, M., Collecting social contact data in the context of disease transmission: prospective and retrospective study designs. Soc. Networks, 2008.
10. [10] Moser, M.R., Bender, T.R., Margolis, H.S., Noble, G.R., Kendal, A.P., Ritter, D.G., An outbreak of influenza aboard a commercial airliner. Am. J. Epidemiol. 110:1 (1979), 1–6.
11. [11] Olsen, S.J., Chang, H.-L., Cheung, T.Y.-Y., Tang, A.F.-Y., Fisk, T.L., Ooi, S.P.-L., Lando, J., Transmission of the severe acute respiratory syndrome on aircraft. N. Engl. J. Med. 349:25 (2003), 2416–2422.
12. [12] Tracy, M., Transmission of tuberculosis during a long airplane flight. N. Engl. J. Med., 335, 1996, 675.
13. [13] Nelson, K., Marienau, K., Schembri, C., Redd, S., Measles transmission during air travel, United States, December 1, 2008–December 31. Travel Med. Infect. Dis. 11:2 (2011), 81–89 2013.
14. [14] Widdowson, M.-A., Glass, R., Monroe, S., Beard, R.S., Bateman, J.W., Lurie, P., Johnson, C., Probable transmission of norovirus on an airplane. Jama 293:15 (2005), 1855–1860.
15. [15] Isaäcson, M., Frean, J.A., African malaria vectors in European aircraft. Lancet, 357(9251), 2001, 235.
16. [16] Gupta, J.K., Lin, C.H., Chen, Q., Risk assessment of airborne infectious diseases in aircraft cabins. Indoor Air 22:5 (2012), 388–395.
17. [17] Ko, G., Thompson, K.M., Nardell, E.A., Estimation of tuberculosis risk on a commercial airliner. Risk Anal. 24:2 (2004), 379–388.
18. [18] Wan, M., et al. Modeling the fate of expiratory aerosols and the associated infection risk in an aircraft cabin environment. Aerosol Sci. Technol. 43:4 (2009), 322–343.
19. [19] Wells, W.F., Airborne Contagion and Air Hygiene. 1955, Harvard University Press, Cambridge, MA.
20. [20] C. Barrett, et al. EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks, in: ACM/IEEE Conference on Supercomputing, 2008.
21. [21] Germann, T.C., et al. Mitigation strategies for pandemic influenza in the United States. Proc. Natl. Acad. Sci. USA 103:15 (2006), 5935–5940.
22. [22] Barrett, C.L., Eubank, S.G., Smith, J.P., If smallpox strikes Portland. Sci. Am. 292:3 (2005), 42–49.
23. [23] Helbing, D., Molnar, P., Social force model for pedestrian dynamics. Phys. Rev. E, 51(5), 1995, 4282.
24. [24] Helbing, D., Farkas, I., Vicsek, T., Simulating dynamical features of escape panic. Nature 407:6803 (2000), 487–490.
25. [25] Burstedde, C., Klauck, K., Schadschneider, A., Zittartz, J., Simulation of pedestrian dynamics using a two-dimensional cellular automaton. Physica A 295:3 (2001), 507–525.
26. [26] Henderson, L.F., The statistics of crowd fluids. Nature 229 (1971), 381–383.
27. [27] Van Landeghem, H., Beuselinck, A., Reducing passenger boarding time in airplanes: A simulation based approach. European J. Oper. Res. 142:2 (2002), 294–308.
28. [28] Allen, M.P., Tildesley, D.J., Computer Simulation of Liquids. 1989, Oxford University Press.
29. [29] Treiber, M., Hennecke, A., Helbing, D., Derivation, properties, and simulation of a gas-kinetic-based, nonlocal traffic model. Phys. Rev. E, 59(1), 1999, 239.
30. [30] Wei-Guo, S., Yan-Fei, Y., Bing-Hong, W., Wei-Cheng, F., Evacuation behaviors at exit in CA model with force essentials: A comparison with social force model. Physica A 371:2 (2006), 658–666.
31. [31] Li, Z., Jiang, Y., Friction based social force model for social foraging of sheep flock. Ecol. Modell. 273 (2014), 55–62.
32. [32] Mehran, R., Oyama, A., Shah, M., Abnormal crowd behavior detection using social force model. Computer Vision and Pattern Recognition, IEEE Conference, 2009, IEEE, 935–942.
33. [33] Zanlungo, F., Ikeda, T., Kanda, T., Social force model with explicit collision prediction. Europhys. Lett., 93(6), 2011, 68005.
34. [34] Lämmel, G., Plaue, M., Getting out of the way: Collision-avoiding pedestrian models compared to the real world. Pedestrian and Evacuation Dynamics, 2012, Springer, 1275–1289.
35. [35] S. Namilae, Simulation of passenger evacuation form airplane using molecular dynamics simulations, in: Boeing Technical Excellence Conference, St Louis, May 2014.
36. [36] Chaudhuri, D., Nagar, A., Absence of jamming in ant trails: Feedback control of self-propulsion and noise. Phys. Rev. E, 91(1), 2015, 012706.
37. [37] Knoblauch, R., Pietrucha, M., Nitzburg, M., Field studies of pedestrian walking speed and start-up time. Transp. Res. Rec.: J. Transp. Res. Board(1538), 1996, 27–38.
38. [38] Zębala, J., Ciępka, P., Reza, A., Pedestrian acceleration and speeds. Probl. Forensic Sci. 91 (2012), 227–234.
39. [39] Marelli, S., Mattock, G., Merry, R., Role of computer simulation in reducing airplane turn time. Boeing Aeromag., 1998, 1.
40. [40] Wald, A., Harmon, M., Klabjan, D., Structured deplaning via simulation and optimization. J. Air Transp. Manag. 36 (2014), 101–109.
41. [41] Namilae, S., Chandra, U., Srinivasan, A., Chandra, N., Effect of interface modification on the mechanical behavior of carbon nanotube reinforced composites using parallel molecular dynamics simulations. Comput. Model. Eng. Sci. 22:3 (2007), 189–202.
42. [42] Van den Briel, M., Villalobos, J., Hogg, G., Lindemann, T., Mule, A.V., America West develops efficient boarding strategies. Interfaces 35 (2005), 191–201.
43. [43] Barrat, A., Cattuto, C., Tozzi, A.E., Vanhems, P., Voirin, N., Measuring contact patterns with wearable sensors: methods, data characteristics and applications to data-driven simulations of infectious diseases. Clin. Microbiol. Infect. 20:1 (2010), 10–16.
44. [44] Heesterbeek, Hans, et al. Modeling infectious disease dynamics in the complex landscape of global health. Science, 347(6227), 2015, aaa4339.