A novel stochastic agent-based model of building occupancy

Proceedings of the American Control Conference

Volumn , Issue , 2011, Pages 2095-2100

  Liao, Chenda ^a   Barooah, Prabir ^a  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGENT-BASED MODEL; ARBITRARY NUMBER; BUILDING OCCUPANCY; COMMERCIAL BUILDING; CONTROL PURPOSE; FIRST ARRIVAL; MODEL YIELDS; REALISTIC SIMULATION; REDUCED ORDER MODELS;

COMPUTATIONAL METHODS; COMPUTER SIMULATION; DYNAMICS; OFFICE BUILDINGS; RANDOM VARIABLES; STOCHASTIC SYSTEMS;

STOCHASTIC MODELS;

EID: 80053148917     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. R. Tomastik, S. Narayanan, A. Banaszuk, and S. Meyn, "Model-based real-time estimation of building occupancy during emergency egress,"in Pedestrian and Evacuation Dynamics, 2008, pp. 215-224.
2. J. Hutchins, A. Ihler, and P. Smyth, "Modeling count data from multiple sensors: a building occupancy model," in IEEE International Workshop on Computational Advances in MultiSensor Adaptive Processing, December 2007.
3. S. Meyn, A. Surana, Y. Lin, S. M. Oggianu, S. Narayanan, and T. A. Frewen, "A sensor-utility-network method for estimation of occupancy distribution in buildings," in 48th IEEE Conference on Decision and Control, December 16-18 2009.
4. C. Liao and P. Barooah, "An integrated approach to occupancy modeling and estimation in commercial buildings," in American Control Conference, 2010, pp. 3130-3135.
5. B. Abushakra and D. E. Claridge, "Modeling office building occupancy in hourly data-driven and detailed energy simulation programs,"in ASHRAE Transactions, July 2008.
6. I. Richardson, M. Thomson, and D. Infield, "A high-resolution domestic building occupancy model for energy demand simulations," Energy and Buildings, vol. 40, no. 8, pp. 1560-1566, 2008. (Pubitemid 351625821)
7. D. Wang, C. C. Federspiel, and F. Rubinstein, "Modeling occupancy in single person offices," Energy and buildings, vol. 37, no. 2, pp. 121-126, 2005.
8. Y. Yamaguchi, Y. Shimoda, and M. Mizuno, "Development of district energy system simulation model based on detailed energy demand model," in Eighth International IBPSA Conference, 2003.
9. B.Dong and B.Andrews, "Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings,"in 7th International IBPSA conference, 2009.
10. D. Helbing, "Traffic and related self-driven many-particle systems,"Review of Modern Physics, vol. 73, pp. 1067-1141, 2001. (Pubitemid 33395907)
11. S. M. V. Gwynne and E. D. Kuligowski, "Simulating a building as a people movement system," Journal of Fire Sciences, 2009.
12. N. Pelechano and A. Malkawi, "Evacuation simulation models: Challenges in modeling high rise building evacuation with cellular automata approaches," Automation in Construction, vol. 17, no. 4, pp. 377-385, 2008. [Online]. Available: http://www.sciencedirect.com/science/article/B6V20- 4PG2KS6- 1/2/48873dcf2cb4b8c1f286f7bef3c62d36
13. A. Shendarkar, K. Vasudevan, S. Lee, and Y.-J. Son, "Crowd simulation for emergency response using bdi agent based on virtual reality,"in WSC'06: Proceedings of the 38th conference on Winter simulation. Winter Simulation Conference, 2006, pp. 545-553.
14. J. Page, D. Robinson, N. Morel, and J.-L. Scartezzini, "A generalised stochastic model for the simulation of occupant presence," Energy and Buildings, vol. 40, pp. 83-98, 2008. (Pubitemid 350161825)
15. V. L. Erickson, Y. Lin, A. Kamthe, R. Brahme, A. Surana, A. E. Cerpa, M. D. Sohn, and S. Narayanan, "Energy efficient building environment control strategies using real-time occupancy measurements," in Conference On Embedded Networked Sensor Systems, 2009.
16. C. Liao, Y. Lin, and P. Barooah, "Agent-based and graphical modeling of building occupancy," Journal of Building Peformance Simulation, 2011.
17. T. M. Cover and J. A. Thomas, Elements of Information Theory, ser. Wiley Series in Telecommunications. New York: Wiley Interscience, 1991.