Analyzing the Role of Arduino and LTE in IoT-Powered Adaptive Traffic Solutions

Background: Urban traffic demands efficient management solutions to reduce congestion and improve flow. Traditional traffic signal systems, mostly static, struggle to track urban activity.Objective: This article uses IoT technologies, Arduino microcontrollers, and LTE connection to create an adaptiv...

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Bibliographische Detailangaben
Hauptverfasser:	Mohammed, Mohammed Abd, Mohammed, Mina Haider, Abed Alsultani, Hussein Ali, Kassim Ahmad, Hussain, Hikmat, Rana, Migo, Piotr, Zhyrov, Genadiy
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptive systems Arduino cloud computing emissions reduction Internet of Things IoT (Internet of Things) LTE (Long-Term Evolution) machine learning real-time data Real-time systems Sustainable development Technological innovation Throughput Timing Traffic control traffic management Transportation Urban areas vehicular flow
Online-Zugang:	Volltext
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