Pniewski, RobertSellin, DominikStankevich, KatsiarynaGanzha, MariaPaprzycki, MarcinWith the emergence of IoT technologies, autonomous vehicles, and introduction of 5G networking, the idea of a smart city is considerably more achievable than before. One of the ways of reaching this goal would be improvement of traffic management. In this contribution, we suggest how an agent-based system can optimize vehicular travel, thus reducing CO 2 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_2$$\end{document} emission, decreasing time spent in traffic jams, and improving overall city travel experience. We propose the design of an agent system describes how agents communicate and, experimentally, validates the design in two use case scenarios.


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    Titel :

    Applying Software Agents to Make City Traffic Management Smarter


    Beteiligte:
    Goyal, Dinesh (Herausgeber:in) / Gupta, Amit Kumar (Herausgeber:in) / Piuri, Vincenzo (Herausgeber:in) / Ganzha, Maria (Herausgeber:in) / Paprzycki, Marcin (Herausgeber:in) / Pniewski, Robert (Autor:in) / Sellin, Dominik (Autor:in) / Stankevich, Katsiaryna (Autor:in) / Ganzha, Maria (Autor:in) / Paprzycki, Marcin (Autor:in)

    Erscheinungsdatum :

    01.01.2021


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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