Modelling and Adaptive Systems for Smart Cities

1Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

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. https://doi.org/10.1109/ICRITO.2018.8748465

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free