Reducing Traffic Congestion Using Smart Traffic Lights and Automated Communication

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-14
DOI
https://doi.org/10.5281/zenodo.18242675
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00
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article

Reducing Traffic Congestion Using Smart Traffic Lights and Automated Communication

Mostafa Saleh‬‏
Zenodo (CERN European Organization for Nuclear Research)
Traffic control and management
article

Reducing Traffic Congestion Using Smart Traffic Lights and Automated Communication

Mostafa Saleh‬‏
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 88%
Traffic control and management
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Reducing Traffic Congestion Using Smart Traffic Lights and Automated Communication — Mostafa Saleh‬‏ · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS