A Study of Wireless Sensor Networks Based Adaptive Traffic Lights Control
BENZID, Sofiane, BELHANI, Ahmed
Abstract
With 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.
Details
| Original language | English |
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| Event | Forum of Artificial Intelligence and Its Applications |
| Publication status | Published — January 2022 |