Korean Journal of Air-Conditioning and Refrigeration Engineering (설비공학논문집)

The Society of Air-Conditioning and Refrigerating Engineers of Korea (대한설비공학회)
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Dynamic Model of the Road Tunnel Pollution by Neural Networks

신경망을 이용한 도로터널 오염물질 동적 모델

  • 한도영 (국민대학교 기계ㆍ자동차공학부) ;
  • 윤진원 (국민대학교 기계공학과 대학원)
  • Published : 2004.09.01
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Abstract

In a long road tunnel, a tunnel ventilation system may be used in order to reduce the pollution below the required level. To develop control algorithms for a tunnel ventilation system, a dynamic simulation program may be used to predict the pollution level in a tunnel. Research was carried out to develop better pollution models for a tunnel ventilation control system. A neural network structure was adopted and compared by using actual poilution data. Simulation results showed that the dynamic model developed by a neural network may be effective for the development of tunnel ventilation control algorithms.

Keywords

References

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