IEEE/CAA Journal of Automatica Sinica
Citation: | Kecai Cao, YangQuan Chen and Daniel Stuart, "A Fractional Micro-Macro Model for Crowds of Pedestrians Based on Fractional Mean Field Games," IEEE/CAA J. of Autom. Sinica, vol. 3, no. 3, pp. 261-270, 2016. |
[1] |
West B J, Turalska M, Grigolini P. Networks of Echoes: Imitation, Innovation and Invisible Leaders. Switzerland: Springer International Publishing, 2014.
|
[2] |
Helbing D, Molnar P. Social force model for pedestrian dynamics. Physical Review E, 1995, 51(5): 4282-4286
|
[3] |
Helbing D, Farkas I, Vicsek T. Simulating dynamical features of escape panic. Nature, 2000, 407(6803): 487-490
|
[4] |
Bellomo N, Bianca C, Coscia V. On the modeling of crowd dynamics: an overview and research perspectives. SeMA Journal, 2011, 54(1): 25-46
|
[5] |
Couzin I D, Krause J, Franks N R, Levin S A. Effective leadership and decision-making in animal groups on the move. Nature, 2005, 433(7025): 513-516
|
[6] |
Couzin I D. Collective cognition in animal groups. Trends in Cognitive Sciences, 2009, 13(1): 36-43
|
[7] |
Song W G, Xu X, Wang B H, Ni S J. Simulation of evacuation processes using a multi-grid model for pedestrian dynamics. Physica A, 2006, 363(2): 492-500
|
[8] |
Shiwakoti N, Sarvi M, Rose G, Burd M. Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions. Transportation Research, Part B: Methodological, 2011, 45(9): 1433-1449
|
[9] |
Kachroo P. Pedestrian Dynamics: Mathematical Theory and Evacuation Control. Boca Raton: CRC Press, 2009.
|
[10] |
Helbing D. A fluid dynamic model for the movement of pedestrians. Complex Systems, 1992, 6: 391-415
|
[11] |
Hughes R L. A continuum theory for the flow of pedestrians. Transportation Research, Part B: Methodological, 2002, 36(6): 507-535
|
[12] |
Hughes R L. The flow of human crowds. Annual Review of Fluid Mechanics, 2003, 35: 169-182
|
[13] |
Jiang Y Q, Zhang P, Wong S C, Liu R X. A higher-order macroscopic model for pedestrian flows. Physica A: Statistical Mechanics and its Applications, 2010, 389(21): 4623-4635
|
[14] |
Al-nasur S J. New Models for Crowd Dynamics and Control [Ph. D. dissertation], Virginia Polytechnic Institute and State University, Virginia, 2006.
|
[15] |
Lattanzio C, Maurizi A, Piccoli B. Moving bottlenecks in car traffic flow: a PDE-ODE coupled model. SIAM Journal on Mathematical Analysis, 2011, 43(1): 50-67
|
[16] |
Ishiwata R, Sugiyama Y. Relationships between power-law longrange interactions and fractional mechanics. Physica A, 2012, 391(23): 5827-5838
|
[17] |
Achdou Y, Camilli F, Capuzzo-Dolcetta I. Mean field games: numerical methods for the planning problem. SIAM Journal on Control and Optimization, 2012, 50(1): 77-109
|
[18] |
Caines P E. Mean field stochastic control. In: Proceedings of the 48th Conference on Decision and Control and the 28th Chinese Control Conference. Shanghai, China: IEEE, 2009.
|
[19] |
Gueant. A reference case for mean field games models. Journal de Mathematiques Pures et Appliquees, 2009, 92(3): 276-294
|
[20] |
Dogbe C. Modeling crowd dynamics by the mean-field limit approach. Mathematical and Computer Modelling, 2010, 52(9-10): 1506-1520
|
[21] |
Nourian M, Malhame R P, Huang M Y, Caines P E. Mean field (NCE) formulation of estimation based leader-follower collective dynamics. International Journal of Robotics & Automation, 2011, 26(1): 120-129
|
[22] |
Nourian M, Caines P E, Malhame R P, Huang M Y. Mean field LQG control in leader-follower stochastic multi-agent systems: likelihood ratio based adaptation. IEEE Transactions on Automatic Control, 2012, 57(11): 2801-2816
|
[23] |
Nourian M, Caines P E, Malhame R P, Huang M Y. Nash, social and centralized solutions to consensus problems via mean field control theory. IEEE Transactions on Automatic Control, 2013, 58(3): 639-653
|
[24] |
Lachapelle A, Wolfram M T. On a mean field game approach modeling congestion and aversion in pedestrian crowds. Transportation Research, Part B: Methodological, 2011, 45(10): 1572-1589
|
[25] |
Chevalier G, Le Ny J, Malhame R. A micro-macro traffic model based on mean-field games. In: Proceedings of the 2015 American Control Conference. Chicago, IL, USA: IEEE, 2015. 1983-1988
|
[26] |
Bogdan P, Marculescu R. A fractional calculus approach to modeling fractal dynamic games. In: Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference. Orlando, FL: IEEE, 2011. 255-260
|
[27] |
Cao K C, Zeng C B, Stuart D, Chen Y Q. Fractional order dynamic modeling of crowd pedestrians. In: Proceedings of the 5th Symposium on Fractional Differentiation and its Applications. 2012.
|
[28] |
Cao K C, Chen Z Q, Stuart D, Yue D. Cyber-physical modeling and control of crowd of pedestrians: a review and new framework. IEEE/CAA Journal of Automatica Sinica, 2015, 2(3): 334-344
|
[29] |
Cao K C, Chen Y Q, Stuart D. A new fractional order dynamic model for human crowd stampede system. In: Proceedings of the ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Boston, USA: ASME, 2015.
|
[30] |
Parvate A, Gangal A D. Fractal differential equations and fractal-time dynamical systems. Pramana, 2005, 64(3): 389-409
|
[31] |
Das S. Functional Fractional Calculus. Berlin Heidelberg: Springer-Verlag, 2011.
|
[32] |
Wang L F, Yang X J, Baleanu D, Cattani C, Zhao Y. Fractal dynamical model of vehicular traffic flow within the local fractional conservation laws. Abstract and Applied Analysis, 2014, 2014(2014): Article ID 635760
|
[33] |
Kachroo P, Al-Nasur S J, Wadoo S A, Shende A. Pedestrian Dynamics: Feedback Control of Crowd Evacuation. Berlin Heidelberg: Springer-Verlag, 2008.
|