Application of Artificial Intelligence Approach for Optimizing Management of Road Traffic

Charlène Bridge-Nduwimana, Abdessamad Malaoui, Jilali Antari

2018

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.

Paper Citation

in Harvard Style

Bridge-Nduwimana C., Malaoui A. and Antari J. (2018). Application of Artificial Intelligence Approach for Optimizing Management of Road Traffic.In Proceedings of the 1st International Conference of Computer Science and Renewable Energies - Volume 1: ICCSRE, ISBN 978-989-758-431-2, pages 5-10. DOI: 10.5220/0009771200050010

in Bibtex Style

@conference{iccsre18,
author={Charlène Bridge-Nduwimana and Abdessamad Malaoui and Jilali Antari},
title={Application of Artificial Intelligence Approach for Optimizing Management of Road Traffic},
booktitle={Proceedings of the 1st International Conference of Computer Science and Renewable Energies - Volume 1: ICCSRE,},
year={2018},
pages={5-10},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009771200050010},
isbn={978-989-758-431-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference of Computer Science and Renewable Energies - Volume 1: ICCSRE,
TI - Application of Artificial Intelligence Approach for Optimizing Management of Road Traffic
SN - 978-989-758-431-2
AU - Bridge-Nduwimana C.
AU - Malaoui A.
AU - Antari J.
PY - 2018
SP - 5
EP - 10
DO - 10.5220/0009771200050010