Abstract
The paper highlights the use of two basic components: Cognitive Ra-dio and EMO in controlling Urban Traffic System. The coordination of the ac-tivities like: identification of route network, traffic jams and coordination of VMS for route diversion. The learning of central control system is achieved by software defined radios integrated with evolutionary Multiobjective optimiza-tion.
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Tahilyani, S., Darbari, M. (2015). Cognitive Framework for Intelligent Traffic Routing in a Multiagent Environment. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Software Engineering in Intelligent Systems. Advances in Intelligent Systems and Computing, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-319-18473-9_7
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DOI: https://doi.org/10.1007/978-3-319-18473-9_7
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