A SMART CITY MODEL FOR AN INTELLIGENT TRAFFIC LIGHT DECISION SYSTEM

A smart city is a framework that uses information and communication technologies to improve public safety, quality of life, transportation and energy efficiency. A big share of these technologies has intelligent networks consisting of connected objects and devices that transmit data using wireless technology and cloud-based solutions. These technologies and their applications can receive, analyze and manage data in real-time to help citizens and municipalities make better decisions to improve quality of life. Also, pairing devices and data with already existing physical infrastructure can cut costs and significantly improve sustainability. The main focus of this work is managing traffic flows in urban transport networks regarding minimizing traffic congestion and improving air quality. The main goal of the proposed models is to provide a good starting point for the future development of smart city models and their implementation in urban areas that show significant congestion and air quality problems.

Authors

Publication Details

Journal
International Journal of Information Sciences and Techniques
Published
2025-09-28
DOI
https://doi.org/10.5121/ijist.2025.15502
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

A SMART CITY MODEL FOR AN INTELLIGENT TRAFFIC LIGHT DECISION SYSTEM

Darko Pajkovski, MarijaApostoloska Kondoska, HristinaDimova Popovska
International Journal of Information Sciences and Techniques
Traffic Prediction and Management Techniques
article

A SMART CITY MODEL FOR AN INTELLIGENT TRAFFIC LIGHT DECISION SYSTEM

Darko Pajkovski, MarijaApostoloska Kondoska, HristinaDimova Popovska
article en

Abstract

A smart city is a framework that uses information and communication technologies to improve public safety, quality of life, transportation and energy efficiency. A big share of these technologies has intelligent networks consisting of connected objects and devices that transmit data using wireless technology and cloud-based solutions. These technologies and their applications can receive, analyze and manage data in real-time to help citizens and municipalities make better decisions to improve quality of life. Also, pairing devices and data with already existing physical infrastructure can cut costs and significantly improve sustainability. The main focus of this work is managing traffic flows in urban transport networks regarding minimizing traffic congestion and improving air quality. The main goal of the proposed models is to provide a good starting point for the future development of smart city models and their implementation in urban areas that show significant congestion and air quality problems.

International Journal of Information Sciences and TechniquesVol. 15(5)
Openalex Percentile: Top 69%
Traffic Prediction and Management Techniques
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