Using Machine to Machine Communication For The Density-based Traffic Signal Light Control.
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Date
2022-11
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Department of Electronic and Telecommunication Engineering
Abstract
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
Description
Muhammad Sadman Sakib
T181040