International Journal of Mechanical Systems Engineering Volume 1 (2015), Article ID 1:IJMSE-106, 9 pages
Research Article
Occupancy Estimation in a Subway Station Using Bayesian Simulation Based on Carbon Dioxide and Particle Concentrations

Cheolyong Shin1 and Hwataik Han2*

1Graduate School, Kookmin University, 77 Jeungneung-ro, Seongbuk-gu, Seoul 136-702, Korea
2Department of Mechanical Engineering, Kookmin University, 77 Jeungneung-ro, Seongbuk-gu, Seoul 136-702, Korea
Dr. Hwataik Han, Department of Mechanical Engineering, Kookmin University, 77 Jeungneung-ro, Seongbuk-gu, Seoul 136- 702, Korea, Tel: 82-10-7211-4687; E-mail:
01 July 2015; 31 October 2015; 01 November 2015
Shin C, Han H (2015) Occupancy Estimation in a Subway Station Using Bayesian Simulation Based on Carbon Dioxide and Particle Concentrations. Int J Mech Syst Eng 1: 106. doi:
This work was supported by the BK-Plus21 Program (31Z20130012959) of the Korea Research Foundation, and by the Human Resources Development Program (20134040200580) of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), funded by the Ministry of Trade, Industry and Energy, Republic of Korea.


  1. Yang IH, Back KC (2004) Development of Koreanized VAV controller. Proceedings of SAREK Summer Conference 1132-1137, Yongpyong, Korea.
  2. Min JC, Su M, Wang LN (2012) Experimental and theoretical investigations of membrane-based energy recovery ventilator performance. Int J Air-Cond Ref 20: 1150004. View
  3. Kartachi Y, Mechaqrane A (2013) Numerical simulation and parametric studies for evaluation of balanced ventilation and earth air exchangers system coupled to a domestic building. Int J Air-Cond Ref 21: 1350002. View
  4. Han H, Nam SH, Han GS (2013) Effect of condensation on the efficiency of heat recovery ventilators for broiler houses. Int J Air-Conditioning and Refrigeration 21: 1350009. View
  5. Carpenter SC (1996) Energy and impacts of CO2-based demand-controlled ventilation. ASHRAE Transactions 102: 80-88.
  6. Nassif N, Kajl S, Sabourin R (2005) Ventilation control strategy using the supply CO2 concentration set point. HVAC&R Research 11: 239-262. View
  7. Nassif N, Zaheeruddin M (2007) simulated performance analysis of a multizone VAV system under different ventilation control strategies. ASHRAE Trans 113: 617-629. View
  8. Lu T, Lu X, Viljanen M (2011) A novel and dynamic demand-controlled ventilation strategy for CO2 control and energy saving in buildings. Energy and Buildings 43: 2499-2508. View
  9. Mysen M, Berntsen S, Nafstad P, Schild PG (2005) Occupancy density and benefits of demand-controlled ventilation in Norwegian primary schools. Energy and Buildings 37: 1234-1240. View
  10. Wang S, Jin X (1998) CO2-based occupancy detection for on-line outdoor air flow control. Indoor Built Environment 7: 165-181. View
  11. Chung KC, Hsu SP (2001) Effect of the ventilation pattern on room air and contaminant distribution. Building and Environment 36: 989-998. View
  12. Nielsen TR, Drivsholm C (2010) Energy-efficient demand-controlled ventilation in single-family houses. Energy and Buildings 42: 1995-1998. View
  13. ASHRAE(2014) ASHRAE Standard 62.1, American Society of Heating, Refrigerating, and Air-conditioning Engineers, Atlanta, USA.
  14. Hutchins J, Ihler A, Smyth P (2007) Modeling count data from multiple sensors: a building occupancy model. IEEE International Workshop on Computational Advances in Multi-sensor Adaptive Processing 241-244. View
  15. Liao C, Barooah P (2010) An integrated approach to occupancy modeling and estimation in commercial buildings. American Control Conference 3130-3135, Baltimore, USA.
  16. Bukyung University (2008) The safety management system in the underground space. Report of National Emergency Management Agency, Busan, Korea.
  17. Kruschke JK (2010) Doing Bayesian Data Analysis: A Tutorial with R and BUGS. Academic Press. New York, USA. View
  18. Institute for Statistics and Mathematics of Wirtschaftsuniversitat Wien (2014) The R project for statistical computing.
  19. Nam SW (2006) Analysis of pedestrian flow characteristics in subway station. J of Korean Society for Railway 9: 271-276. View
  20. Luoma M, Batterman SA (2011) Characterization of particulate emissions from occupant activities in offices. Indoor Air 11: 35-48. View
  21. Branis M, Rezacova P, Domasova M (2005) The effect of outdoor air and indoor human activity on mass concentrations of PM10, PM2.5, and PM1 in a classroom. Environmental Research 99: 143-149. View