Abstract
The present document explores how air pollution can be assessed from a multiagent point of view. In order to do so, a traffic system was simulated using agents as a way to measure if air pollution levels go down when the traffic lights employ a multigent cooperative system that negotiates the green light duration of each traffic light, in order to minimize the time a car has to wait to be served in an intersection. The findings after running some experiments where lanes of each direction are congested incrementally showed, that using this technique, there is a significant decrease in air pollution over the simulated area which means that traffic lights controlled by the multiagent system do improve the levels of air pollution.
This research has been supported in part by the ITESM Research Chair CAT-011.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ehlert, P.A.M., Rothkrantz, L.J.M.: Microscopic traffic simulation with reactive driving agents. In: Proceedings. 2001 IEEE Intelligent Transportation Systems, pp. 860–865 (2001)
Eissfeldt, N., Sentuc, F.-N., Luberichs, M.: Investigating emissions of traffic by simulation. Technical report, Center for Applied Computer Science (ZAIK) (April 2001)
France, J., Ali, A.: A multiagent system for optimizing urban traffic. In: Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology, IAT 2003, pp. 411–414 (2003)
Gualtieri, G., Tartaglia, M.: Predicting urban traffic air pollution: A GIS framework. Transportation Research Part D: Transport and Environment 3, 329–336 (1998)
Guzmán, F., Garrido, L.: Towards traffic light control through a cooperative multiagent system: A simulation-based study. In: Proceedings of the 2005 Agent-Directed Simulation Symposium (ADS 2005) at the 2005 Spring Simulation Multiconference, SpringSim 2005 (2005)
The MadKit project, Web site http://www.madkit.org
Paruchuri, P., Pullalarevu, A.R., Karlapalem, K.: Multi agent simulation of unorganized traffic. In: Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1, pp. 176–183. ACM Press, New York (2002)
Rogers, T.Q.: Comparación de desempeño ambiental del sector transporte en Nuevo León, a través de indicadores ambientales y energéticos. Master’s thesis, Instituto Tecnológico y de Estudios Superiores de Monterrey - Campus Monterrey (2003)
Schmidt, M., Schäfer, R.-P.: An integrated simulation system for traffic induced air pollution. Environmental Modelling and Software 13, 295–303 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Domínguez, J.H., Fernández, L.M., Aguirre, J.L., Garrido, L., Brena, R. (2005). Air Pollution Assessment Through a Multiagent-Based Traffic Simulation. In: Gelbukh, A., de Albornoz, Á., Terashima-Marín, H. (eds) MICAI 2005: Advances in Artificial Intelligence. MICAI 2005. Lecture Notes in Computer Science(), vol 3789. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11579427_30
Download citation
DOI: https://doi.org/10.1007/11579427_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29896-0
Online ISBN: 978-3-540-31653-4
eBook Packages: Computer ScienceComputer Science (R0)