Intelligent Prediction and Control of Traffic Lights Using Learning Automata Artificial Intelligence Algorithm (Case Study: Hamadan Traffic Fleet)

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Torabi Mohammad Amin; RAHMANI FAEZEH; Ghobadi Lamouki Tohfeh; HajiBabaei Hossein; Fani Majid

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Journal Paper

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Journal: TRAFFIC MANAGEMENT STUDIES Year:2021 | Volume:- | Issue:61 Page(s): 1-36

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Information Journal Paper

Title

Intelligent Prediction and Control of Traffic Lights Using Learning Automata Artificial Intelligence Algorithm (Case Study: Hamadan Traffic Fleet)

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Keywords

Hamedan city traffic

intelligent traffic lights

reinforcing learning

learning automata

artificial intelligence

Abstract

Background and Aim It is very difficult to control intersections using traffic lights in an optimized way. The intelligent traffic light control system uses traffic and driving technologies along with artificial intelligence to solve traffic problems such as congestion with appropriate decisions. Reinforcement learning methods, especially the automated learning algorithm, can only make decisions by receiving a signal from the environment. The purpose of this paper is to present some automated algorithm-based methods for predicting and controlling intelligent traffic lights using a variety of automated algorithms, including static and variable methods.-It is an observer. The technique and method used in this research is a combined use of the automated learning algorithm method. For this purpose, the traffic on the intersections of zone one in the city of Hamedan was examined and that data was used for evaluation and results. Results Experiments showed that the automated algorithm with variable structure in most cases works better than other automated algorithms and finally the proposed method is comparable to different algorithms and has the ability to improve traffic in the city. Conclusion The proposed method for each traffic light predicts the next cycle, in which case the intersection will face the least available traffic. This cycle is real-time and may change its sequence in the next period and towards optimization. The algorithm works automatically.

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APA: Copy

Torabi, Mohammad Amin, RAHMANI, FAEZEH, Ghobadi Lamouki, Tohfeh, HajiBabaei, Hossein, & Fani, Majid. (2021). Intelligent Prediction and Control of Traffic Lights Using Learning Automata Artificial Intelligence Algorithm (Case Study: Hamadan Traffic Fleet). TRAFFIC MANAGEMENT STUDIES, -(61 ), 1-36. SID. https://sid.ir/paper/960065/en

Vancouver: Copy

Torabi Mohammad Amin, RAHMANI FAEZEH, Ghobadi Lamouki Tohfeh, HajiBabaei Hossein, Fani Majid. Intelligent Prediction and Control of Traffic Lights Using Learning Automata Artificial Intelligence Algorithm (Case Study: Hamadan Traffic Fleet). TRAFFIC MANAGEMENT STUDIES[Internet]. 2021;-(61 ):1-36. Available from: https://sid.ir/paper/960065/en

IEEE: Copy

Mohammad Amin Torabi, FAEZEH RAHMANI, Tohfeh Ghobadi Lamouki, Hossein HajiBabaei, and Majid Fani, “Intelligent Prediction and Control of Traffic Lights Using Learning Automata Artificial Intelligence Algorithm (Case Study: Hamadan Traffic Fleet),” TRAFFIC MANAGEMENT STUDIES, vol. -, no. 61 , pp. 1–36, 2021, [Online]. Available: https://sid.ir/paper/960065/en

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