A smart city model for an intelligent traffic light decision system
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866915523016523776 |
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| author | Pajkovski, Darko Kondoska, Marija Apostoloska Popovska, Hristina Dimova |
| author_facet | Pajkovski, Darko Kondoska, Marija Apostoloska Popovska, Hristina Dimova |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_25254 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A smart city model for an intelligent traffic light decision system Pajkovski, Darko Kondoska, Marija Apostoloska Popovska, Hristina Dimova Physics and Society 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. |
| title | A smart city model for an intelligent traffic light decision system |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2509.25254 |