Modelling and Adaptive Systems for Smart Cities

Research output: A Conference proceeding or a Chapter in BookConference contribution

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.

Original languageEnglish
Title of host publication2018 7th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2018
Subtitle of host publicationTrends and Future Directions, ICRITO 2018
EditorsSunil Kumar Khatri, Ajay Rana, P K. Kapur, Yury Klochkov
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Chapter62
Pages495-500
Number of pages6
ISBN (Electronic)9781538646922
ISBN (Print)9781538646939
DOIs
Publication statusPublished - 29 Aug 2018
Event7th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions - Noida, India
Duration: 29 Aug 201831 Aug 2018

Conference

Conference7th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions
Abbreviated titleICRITO 2018
CountryIndia
CityNoida
Period29/08/1831/08/18

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  • Cite this

    Mohammadian, M. (2018). Modelling and Adaptive Systems for Smart Cities. In S. K. Khatri, A. Rana, P. K. Kapur, & Y. Klochkov (Eds.), 2018 7th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2018: Trends and Future Directions, ICRITO 2018 (pp. 495-500). [8748465] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICRITO.2018.8748465