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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Main Authors: Marius TEME, Catalin DIMON
Format: Article
Language:English
Published: Editura Academiei Oamenilor de Știință din România 2025-07-01
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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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