DEEP LEARNING – BASED OPTIMIZATION OF SMART TRAFFIC SIGNAL SYSTEMS
This paper compares various artificial intelligence techniques applied to intelligent traffic systems for traffic light optimization. The use of Deep Learning algorithms for updating traffic light timings achieves superior results compared to the classical fixed-time approach. The traffic network is...
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| Format: | Article |
| Language: | English |
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Editura Academiei Oamenilor de Știință din România
2025-07-01
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| Series: | Annals: Series on engineering sciences (Academy of Romanian Scientists) |
| Subjects: | |
| Online Access: | https://aos.ro/doi/informatics-2025-1-5-processes-and-installations-for-the-preparation-of-breathing-gas-mixtures |
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| _version_ | 1849222037905604608 |
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| author | Marius TEME Catalin DIMON |
| author_facet | Marius TEME Catalin DIMON |
| author_sort | Marius TEME |
| collection | DOAJ |
| description | This paper compares various artificial intelligence techniques applied to intelligent traffic systems for traffic light optimization. The use of Deep Learning algorithms for updating traffic light timings achieves superior results compared to the classical fixed-time approach. The traffic network is conceptualized as a modular component of the urban road infrastructure, facilitating traffic analysis in the context of an integrated management system. A case study analyzes a scenario with multiple connected intersections, with variable input flows estimated based on real data acquired from the Bucharest traffic management system. |
| format | Article |
| id | doaj-art-2dcd9362da304fae82ffa498a19d7d5a |
| institution | Kabale University |
| issn | 2066-6950 2066-8570 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Editura Academiei Oamenilor de Știință din România |
| record_format | Article |
| series | Annals: Series on engineering sciences (Academy of Romanian Scientists) |
| spelling | doaj-art-2dcd9362da304fae82ffa498a19d7d5a2025-08-26T08:46:07ZengEditura Academiei Oamenilor de Știință din RomâniaAnnals: Series on engineering sciences (Academy of Romanian Scientists)2066-69502066-85702025-07-0118151810.56082/annalsarsciinfo.2025.1.5DEEP LEARNING – BASED OPTIMIZATION OF SMART TRAFFIC SIGNAL SYSTEMSMarius TEME0Catalin DIMON1National University of Science and Technology Politehnica Bucharest; Academy of Romanian Scientists,National University of Science and Technology Politehnica Bucharest; Academy of Romanian Scientists,This paper compares various artificial intelligence techniques applied to intelligent traffic systems for traffic light optimization. The use of Deep Learning algorithms for updating traffic light timings achieves superior results compared to the classical fixed-time approach. The traffic network is conceptualized as a modular component of the urban road infrastructure, facilitating traffic analysis in the context of an integrated management system. A case study analyzes a scenario with multiple connected intersections, with variable input flows estimated based on real data acquired from the Bucharest traffic management system.https://aos.ro/doi/informatics-2025-1-5-processes-and-installations-for-the-preparation-of-breathing-gas-mixturesdeep learningoptimizationtraffic light systemsvariable cyclenumber of carscongestion |
| spellingShingle | Marius TEME Catalin DIMON DEEP LEARNING – BASED OPTIMIZATION OF SMART TRAFFIC SIGNAL SYSTEMS Annals: Series on engineering sciences (Academy of Romanian Scientists) deep learning optimization traffic light systems variable cycle number of cars congestion |
| title | DEEP LEARNING – BASED OPTIMIZATION OF SMART TRAFFIC SIGNAL SYSTEMS |
| title_full | DEEP LEARNING – BASED OPTIMIZATION OF SMART TRAFFIC SIGNAL SYSTEMS |
| title_fullStr | DEEP LEARNING – BASED OPTIMIZATION OF SMART TRAFFIC SIGNAL SYSTEMS |
| title_full_unstemmed | DEEP LEARNING – BASED OPTIMIZATION OF SMART TRAFFIC SIGNAL SYSTEMS |
| title_short | DEEP LEARNING – BASED OPTIMIZATION OF SMART TRAFFIC SIGNAL SYSTEMS |
| title_sort | deep learning based optimization of smart traffic signal systems |
| topic | deep learning optimization traffic light systems variable cycle number of cars congestion |
| url | https://aos.ro/doi/informatics-2025-1-5-processes-and-installations-for-the-preparation-of-breathing-gas-mixtures |
| work_keys_str_mv | AT mariusteme deeplearningbasedoptimizationofsmarttrafficsignalsystems AT catalindimon deeplearningbasedoptimizationofsmarttrafficsignalsystems |