Performance Evaluation of Traffic Signal Control Methods in Algiers City, Algeria: A Real-World Study Utilizing RESCO Benchmark Algorithms

Efficient traffic signal control is crucial for managing urban traffic flow and alleviating congestion. This paper presents a comprehensive performance evaluation of various traffic signal control methods in Algiers City, Algeria. The study utilizes RESCO benchmark algorithms, recognized for their e...

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Bibliographic Details
Published in2023 IEEE International Conference on Artificial Intelligence & Green Energy (ICAIGE) pp. 1 - 6
Main Authors Bouriachi, Fares, Messadi, Maria, Mehezem, Imene, Djelal, Nacereddine, Ouanane, Abdelhak, Naidja, Halima
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.10.2023
Subjects
Benchmark testing
Delays
Green products
Independent Deep Q-Network (IDQN)
MPLight
Performance evaluation
RESCO benchmark algorithms
Traffic signal control
Urban areas
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DOI10.1109/ICAIGE58321.2023.10346431

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Summary:Efficient traffic signal control is crucial for managing urban traffic flow and alleviating congestion. This paper presents a comprehensive performance evaluation of various traffic signal control methods in Algiers City, Algeria. The study utilizes RESCO benchmark algorithms, recognized for their effectiveness in traffic management. Real-world data from Algiers City is collected and analyzed to evaluate the performance of these methods. The findings demonstrate that the Independent Deep Q-Network (IDQN) algorithm outperforms MPLight. These results highlight the potential of IDQN for enhancing traffic flow and congestion mitigation in Algiers City.
DOI:10.1109/ICAIGE58321.2023.10346431