Abstract
This paper describes an urban traffic control system which aims at contributing to a more efficient traffic management system in the cities of Brazil. It uses fuzzy sets, case-based reasoning, and genetic algorithms to handle dynamic and unpredictable traffic scenarios, as well as uncertain, incomplete, and inconsistent information. The system is composed by one supervisor and several controller agents, which cooperate with each other to improve the system’s results through Artificial Intelligence Techniques.
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© 2011 Springer-Verlag Berlin Heidelberg
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Nakamiti, G., da Silva, V.E., Ventura, J.H., da Silva, S.A. (2011). Urban Traffic Control and Monitoring – An Approach for the Brazilian Intelligent Cities Project. In: Wang, Y., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent and Soft Computing, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25658-5_65
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DOI: https://doi.org/10.1007/978-3-642-25658-5_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25657-8
Online ISBN: 978-3-642-25658-5
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