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Reducing Traffic Congestion Using Smart Traffic Lights and Automated Communication

Year: 2026

Type: conference-paper

Abstract: With the high rate of natural increase and traffic congestion, the world requires innovation solutions. This research demonstrates that traffic congestion can be reduced by using an AI Car-detector system, Smart-Controlled traffic lights, sending suggestions of alternative roads, and communication between emergency vehicles and drivers.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18242674

Author: Saleh‬‏, Mostafa

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: green

OpenAlex ID: W7124146094

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