Modelling and Adaptive Systems for Smart Cities

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This paper considers the use of a multi-agent system for control of a multi traffic lights. The proposed model consists of a community of agents that autonomously act in cooperation with other agents using a set of fuzzy logic (FL) systems to control traffic at several intersections. Each agent system acts initially independently to control each traffic signal in an online real-time manner. Each agent adjusts traffic timing on each traffic signal. The effectiveness of the multi-agent system for controlling traffic signals is established through simulations. The multi-agent system used controls multi traffic signals. The results are promising, and they support the expandability of the model used using hierarchical fuzzy logic systems and multi-agent systems.




Mohammadian, M. (2018). Modelling and Adaptive Systems for Smart Cities. In 2018 7th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2018 (pp. 495–500). Institute of Electrical and Electronics Engineers Inc.

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