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A particle swarm optimization model of emergency airplane evacuations with emotion
1.  Pepperdine University, 24255 Pacific Coast Highway, Malibu, CA 90263, United States, United States 
References:
[1] 
Y. Chuang, M. R. D'orsogna, D. C. Marthaler, A. L. Bertozzi and L. S. Chayes, State transitions and the continuum limit for a 2D interacting, selfpropelled particle system,, Physica D, 232 (2007), 33. doi: 10.1016/j.physd.2007.05.007. 
[2] 
T. J. Cova and J. P. Johnson, A network flow model for lanebased evacuation routing,, Transportation Research Part A: Policy and Practice, 37 (2003), 579. doi: 10.1016/S09658564(03)000077. 
[3] 
F. Cucker and S. Smale, Emergent behavior in flocks,, IEEE Transactions on Automatic Control, 52 (2007), 852. doi: 10.1109/TAC.2007.895842. 
[4] 
K. Depart, et al., Aircraft evacuation testing: Research and technology issues,, Office of Technology Assessment, (): 1. 
[5] 
R. Eberhart and J. Kennedy, A new optimizer using particle swarm theory,, in Proceedings of the Sixth International Symposium on Micro Machine and Human Science, (1995), 39. doi: 10.1109/MHS.1995.494215. 
[6] 
E. Galea and J. P. Galparsoro, A computerbased simulation model for the prediction of evacuation from masstransport vehicles,, Fire Safety Journal, 22 (1994), 341. doi: 10.1016/03797112(94)90040X. 
[7] 
E. Galea and J. Galparsoro, Exodus: An Evacuation Model for Mass Transport Vehicles,, Papers, (1993). 
[8] 
J. Garner, R. F. Chandler and E. Cook, GPSS Computer Simulation of Aircraft Passenger Emergency Evacuations,, U.S. Department of Transportation, (1978). 
[9] 
R. Hassan, B. Cohanim, O. De Weck and G. Venter, A comparison of particle swarm optimization and the genetic algorithm,, in 46th AIAA/ASME/ASCE/AHS/ASC Structures, (2005), 1. doi: 10.2514/6.20051897. 
[10] 
D. Helbing, I. Farkas, P. Molnàr and T. Vicsek, Simulation of pedestrian crowds in normal and evacuation situations,, in Pedestrian and Evacuation Dynamics (eds. M. Schreckenberg and S. D. Sharma), (2002), 21. 
[11] 
J. Izquierdo, I. Montalvo, R. Pérez and V. Fuertes, Forecasting pedestrian evacuation times by using swarm intelligence,, Physica A: Statistical Mechanics and its Applications, 388 (2009), 1213. doi: 10.1016/j.physa.2008.12.008. 
[12] 
P. Jorna, et al., Increasing the survival rate in aircraft accidents: Impact protection, fire survivability and evacuation,, European Transport Safety Council, (): 1. 
[13] 
Y. Liu, W. Wang, H.Z. Huang, Y. Li and Y. Yang, A new simulation model for assessing aircraft emergency evacuation considering passenger physical characteristics,, Reliability Engineering & System Safety, 121 (2014), 187. doi: 10.1016/j.ress.2013.09.001. 
[14] 
T. A. Lucas, Operator splitting for an immunology model using reactiondiffusion equations with stochastic source terms,, SIAM J. Numer. Anal., 46 (2008), 3113. doi: 10.1137/070701595. 
[15] 
T. A. Lucas, Maximumnorm estimates for an immunology model using reactiondiffusion equations with stochastic source terms,, SIAM J. Numer. Anal., 49 (2011), 2256. doi: 10.1137/100794584. 
[16] 
T. Miyoshi, H. Nakayasu, Y. Ueno and P. Patterson, An emergency aircraft evacuation simulation considering passenger emotions,, in Computers & Industrial Engineering, (2012), 746. doi: 10.1016/j.cie.2011.11.012. 
[17] 
B. Peterson, What we've learned so far from the Asiana Flight 214 investigation,, Popular Mechanics, (). 
[18] 
, SeatGuru by TripAdvisor,, , (): 737. 
[19] 
, SeatGuru by TripAdvisor,, , (): 777. 
[20] 
S. Sharma, H. Singh and A. Prakash, Multiagent modeling and simulation of human behavior in aircraft evacuations,, in Aerospace and Electronic Systems, (2008), 1477. doi: 10.1109/TAES.2008.4667723. 
[21] 
J. Tsai, et al., ESCAPES: Evacuation simulation with children, authorities, parents, emotions, and social comparison,, in The 10th International Conference on Autonomous Agents and Multiagent Systems, (2011), 457. 
[22] 
Y. Zheng, J. Chen, J. Wei and X. Guo, Modeling of pedestrian evacuation based on the particle swarm optimization algorithm,, Physica A: Statistical Mechanics and its Applications, 391 (2012), 4225. doi: 10.1016/j.physa.2012.03.033. 
show all references
References:
[1] 
Y. Chuang, M. R. D'orsogna, D. C. Marthaler, A. L. Bertozzi and L. S. Chayes, State transitions and the continuum limit for a 2D interacting, selfpropelled particle system,, Physica D, 232 (2007), 33. doi: 10.1016/j.physd.2007.05.007. 
[2] 
T. J. Cova and J. P. Johnson, A network flow model for lanebased evacuation routing,, Transportation Research Part A: Policy and Practice, 37 (2003), 579. doi: 10.1016/S09658564(03)000077. 
[3] 
F. Cucker and S. Smale, Emergent behavior in flocks,, IEEE Transactions on Automatic Control, 52 (2007), 852. doi: 10.1109/TAC.2007.895842. 
[4] 
K. Depart, et al., Aircraft evacuation testing: Research and technology issues,, Office of Technology Assessment, (): 1. 
[5] 
R. Eberhart and J. Kennedy, A new optimizer using particle swarm theory,, in Proceedings of the Sixth International Symposium on Micro Machine and Human Science, (1995), 39. doi: 10.1109/MHS.1995.494215. 
[6] 
E. Galea and J. P. Galparsoro, A computerbased simulation model for the prediction of evacuation from masstransport vehicles,, Fire Safety Journal, 22 (1994), 341. doi: 10.1016/03797112(94)90040X. 
[7] 
E. Galea and J. Galparsoro, Exodus: An Evacuation Model for Mass Transport Vehicles,, Papers, (1993). 
[8] 
J. Garner, R. F. Chandler and E. Cook, GPSS Computer Simulation of Aircraft Passenger Emergency Evacuations,, U.S. Department of Transportation, (1978). 
[9] 
R. Hassan, B. Cohanim, O. De Weck and G. Venter, A comparison of particle swarm optimization and the genetic algorithm,, in 46th AIAA/ASME/ASCE/AHS/ASC Structures, (2005), 1. doi: 10.2514/6.20051897. 
[10] 
D. Helbing, I. Farkas, P. Molnàr and T. Vicsek, Simulation of pedestrian crowds in normal and evacuation situations,, in Pedestrian and Evacuation Dynamics (eds. M. Schreckenberg and S. D. Sharma), (2002), 21. 
[11] 
J. Izquierdo, I. Montalvo, R. Pérez and V. Fuertes, Forecasting pedestrian evacuation times by using swarm intelligence,, Physica A: Statistical Mechanics and its Applications, 388 (2009), 1213. doi: 10.1016/j.physa.2008.12.008. 
[12] 
P. Jorna, et al., Increasing the survival rate in aircraft accidents: Impact protection, fire survivability and evacuation,, European Transport Safety Council, (): 1. 
[13] 
Y. Liu, W. Wang, H.Z. Huang, Y. Li and Y. Yang, A new simulation model for assessing aircraft emergency evacuation considering passenger physical characteristics,, Reliability Engineering & System Safety, 121 (2014), 187. doi: 10.1016/j.ress.2013.09.001. 
[14] 
T. A. Lucas, Operator splitting for an immunology model using reactiondiffusion equations with stochastic source terms,, SIAM J. Numer. Anal., 46 (2008), 3113. doi: 10.1137/070701595. 
[15] 
T. A. Lucas, Maximumnorm estimates for an immunology model using reactiondiffusion equations with stochastic source terms,, SIAM J. Numer. Anal., 49 (2011), 2256. doi: 10.1137/100794584. 
[16] 
T. Miyoshi, H. Nakayasu, Y. Ueno and P. Patterson, An emergency aircraft evacuation simulation considering passenger emotions,, in Computers & Industrial Engineering, (2012), 746. doi: 10.1016/j.cie.2011.11.012. 
[17] 
B. Peterson, What we've learned so far from the Asiana Flight 214 investigation,, Popular Mechanics, (). 
[18] 
, SeatGuru by TripAdvisor,, , (): 737. 
[19] 
, SeatGuru by TripAdvisor,, , (): 777. 
[20] 
S. Sharma, H. Singh and A. Prakash, Multiagent modeling and simulation of human behavior in aircraft evacuations,, in Aerospace and Electronic Systems, (2008), 1477. doi: 10.1109/TAES.2008.4667723. 
[21] 
J. Tsai, et al., ESCAPES: Evacuation simulation with children, authorities, parents, emotions, and social comparison,, in The 10th International Conference on Autonomous Agents and Multiagent Systems, (2011), 457. 
[22] 
Y. Zheng, J. Chen, J. Wei and X. Guo, Modeling of pedestrian evacuation based on the particle swarm optimization algorithm,, Physica A: Statistical Mechanics and its Applications, 391 (2012), 4225. doi: 10.1016/j.physa.2012.03.033. 
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