Smartphones have had powerful edge computational capabilities at extremely feasible costs that encourage the development of many Internet of Things applications. Smartphone sensors associated with mobile applications support real-time tracking of vehicles and facilitate the detection of abnormal conditions. The integration of smartphone information with databases of vehicle traffic monitoring departments increases the speed of detecting potential accidents and enables interaction with drivers to determine transport schedules, restrictions, and possible route changes. Computational simulation prediction is an effective way of reducing risks and finding the optimal solution with few costs. Models were built by adding complexity and the simulated results are analyzed and compared for real-world traffic performance. The advanced simulation system makes a huge contribution to reducing traffic jams and their consequences. The results show the influence of improvements in traffic management reducing detection time and the effects caused by accidents involving the transport of hazardous materials, such as traffic jams, fuel consumption, and greenhouse gas emissions.


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    Titel :

    Internet of Things Using Smartphone Sensors to Track Dangerous Goods


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:

    Kongress:

    Brazilian Technology Symposium ; 2021 ; Campinas, Brazil October 19, 2021 - October 21, 2021



    Erscheinungsdatum :

    20.07.2022


    Format / Umfang :

    22 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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