Pollution level estimation for tunnel ventilation control

Daehie Hong, Baeksuk Chu, Woo Dong Kim, Jin Taek Chung, Tae Hyung Kim

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Traffic tunnels built in recent years are equipped with traffic counters and pollution sensors. Utilizing these built-in sensors, it is possible to develop an algorithm to estimate the amount of pollutants exhausted from the various types of vehicles passing through the tunnel. Also, with this estimated data and the sensor outputs, more accurate pollution levels can be assessed utilizing a Kalman filter. The diffusion of pollutants in a tunnel can be described with a one-dimensional diffusion and advection equation. This equation is approximated with interpolation functions and a weighted residual method converts to an adequate form for standard state estimate algorithms. With this converted equation, a least square based algorithm is developed, whose outputs are the estimated amounts of pollutants emitted from each type of vehicles. Also, a Kalman filter is utilized to more accurately estimate the pollution levels of the tunnel under the existence of model and measurement uncertainties. In order to verify the feasibility of the developed algorithms, experiments and simulations are performed. The real data is acquisitioned from the Dunnae tunnel located in Young-Dong highway in Korea. The estimated emission rates and the computer simulated concentration levels agree reasonably to the measured values.

Original languageEnglish
Pages (from-to)278-286
Number of pages9
JournalJSME International Journal, Series B: Fluids and Thermal Engineering
Issue number2
Publication statusPublished - 2003 May


  • Diffusion-advection equation
  • Kalman filter
  • Least square
  • State estimation algorithm
  • Tunnel ventilation

ASJC Scopus subject areas

  • Mechanical Engineering
  • Physical and Theoretical Chemistry
  • Fluid Flow and Transfer Processes


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