Abstract
An approach based on the artificial intelligence is proposed for the management of road traffic. By a fuzzy system, we are looking for purely numerical parametric characteristics and those that influence its structure. In fact, we use input and output data from a portion of the road traffic to identify a fuzzy model which makes possible the evaluation of the results of the estimated parameters obtained. This has been achievable through the combination of parametric and structural adjustment algorithms with the backpropagation algorithm. Consequently, the obtained results show that adaptive models are successfully used in the analysis and the management of road traffic through the efficiency of this combination.
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Bridge-Nduwimana, C.B., Malaoui, A., Antari, J. (2020). Application of Artificial Intelligence Approach for Optimizing Management of Road Traffic. In: Elhoseny, M., Hassanien, A. (eds) Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks. Studies in Systems, Decision and Control, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-030-22773-9_5
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DOI: https://doi.org/10.1007/978-3-030-22773-9_5
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