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Article Dans Une Revue International journal of advanced computer science and applications (IJACSA) Année : 2019

An Agent-based Simulation for Studying Air Pollution from Traffic in Urban Areas: The Case of Hanoi City

Résumé

In urban areas, traffic is one of the main causes of air pollution. Establishing an effective solution to raise public awareness of this phenomenon could help to significantly reduce the level of pollution in urban areas. In this study, we design and implement an agent-based simulation allowing to study the principles of production and dispersion of pollutants from road traffic in urban areas. The simulation takes into account different factors that can produce pollutants from the urban zone (the case of Hanoi city in Vietnam): roads and streets, vehicles (types, quantity), traffic, wind direction, etc. With this simulation, one can observe and study the emission and dispersion of pollutants from traffic by conducting experiments with various scenarios and parameters. This work is an interesting solution to sensitize the public's awareness on the air pollution from traffic in urban areas, so that people can change their behaviors to reduce the air pollution.
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Dates et versions

hal-02947928 , version 1 (24-09-2020)

Identifiants

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Rodrique Kafando, H O Tuong Vinh, Nguyen Manh Hung. An Agent-based Simulation for Studying Air Pollution from Traffic in Urban Areas: The Case of Hanoi City. International journal of advanced computer science and applications (IJACSA), 2019, 10 (3), pp.596-604. ⟨10.14569/IJACSA.2019.0100376⟩. ⟨hal-02947928⟩

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