BENZID, SofianeBELHANI, Ahmed2022-04-122022-04-122022-01-24BENZID, Sofiane . BELHANI, Ahmed. A Study of Wireless Sensor Netwrks Based Adaptive Traffic Lights Control. Forum of Artificial Intelligence and Its Applications. 24-26 Jan 2022. Faculty of Exat science. University of Eloued. [visited in ../../….]. available from [copy the link here]https://dspace.univ-eloued.dz/handle/123456789/10770Forum Intervention of Artificial Intelligence and Its Applications. Faculty of Exat science. University of ElouedWith the rising impact of congestion in cities, implementing an adaptive traffic light system as part of an Intelligent transportation system (ITS) is more than necessary to control traffic lights at intersections. These adaptive systems have the ability to sense traffic in real time and adjust the lights accordingly, contrary to the existing preprogrammed control systems which they fail to adapt to traffic variation causing more traffic jams. The existing industrial adaptive control systems use expensive equipment impeding their spread worldwide, but thanks to the advances in embedded systems, Wireless Sensor Networks (WSN) are emerging as a potential solution for the expensiveness of the existing adaptive schemes. In this paper, relevant works of designing an adaptive traffic lights control system using WSN are reviewed with a focus on the different sensing technologies, architectures and the algorithms used.enCongestion, Adaptive traffic Systems, ITS, Average Waiting Time, WSNOther