Modelling Air Pollution Crises Using Multi-agent Simulation
作者： Sabri Ghazi , Julie Dugdale , Tarek Khadir
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摘要: This paper describes an agent based approach for simulating the control of air pollution crisis. A Gaussian Plum dispersion model (GPD) is combined with Artificial Neural Network (ANN) to predict concentration levels three different pollutants. The two models (GPM and ANN) are integrated a MAS (multi-agent system). pollutant sources controllers monitoring agencies as software agents. population agents cooperates each other in order reduce their emissions pollution. Leaks or natural modelled uncontrolled sources. cooperation strategy simulated its impact on evolution assessed compared. simulation scenario built using data about Annaba (a city North-East Algeria). helps compare assess efficiency policies during crises, takes account
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ieeecomputersociety.org 参考文章(13)
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