Browsing by Author "Sakib, Muhammad Sadman"

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    Using Machine to Machine Communication For The Density-based Traffic Signal Light Control.
    (Department of Electronic and Telecommunication Engineering, 2022-11) Sakib, Muhammad Sadman
    Automation has had a significant influence on our daily lives, making them easier. The number of vehicles going across the road is rising by the day, resulting in traffic jams and a waste of human labor. And our present manual traffic signal system in Bangladesh is unable to do this in such a short period. As a result, I suggest an experimental technique of running a system 24 hours a day, seven days a Iek, meing a completely automated traffic signal light system employing machine-to-machine communication, which is capable of reducing human effort, time, and, most crucially, traffic jams. A vehicle density measurement system that can measure vehicle density meing LDR and laser light. It can detect a maximum number of vehicles passing through at a fixed time. If a vehicle passes through in an LDit can be detected as over traffic. and send the data to the master unit (ESP32). If feIr vehicles pass through the LDR, it can be detected as a normal situation. and send the data to the master unit (ESP32). The master unit takes a decdecidessity statme of the vehicle. Traffic signal light statme is the same in every slave or road unit. When LDR and laser detect the vehicle in every normal situation, it can be ON Green Led. As a result, undesired traffic jams can be reduced and no time can be wasted by the public. LED statme can depend on the density of a vehicle. For machine-to-machine communicat,ion no internet access can be needed in this system