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PARTICLE SWAM OPTIMIZATION FOR TRAFFIC CLEARANCE SERVICES project on IoT Raspberry Pi

IoT Raspberry Pi ideas   Last update on -  December 3, 2020
Robin Rajesh
Robin Rajesh
angular java spring boot HTML CSS JS MongoDb 
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PARTICLE SWAM OPTIMIZATION FOR TRAFFIC CLEARANCE SERVICES project abstract


Publish by  Robin Rajesh
Project Name  PARTICLE SWAM OPTIMIZATION FOR TRAFFIC CLEARANCE SERVICES
Upload Date  December 3, 2020
Platform  IoT Raspberry Pi
Programming Language  Aurdino
Database  Hardware
Front end  
Back end  
Project Type  web Application
View  995

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PARTICLE SWAM OPTIMIZATION FOR TRAFFIC CLEARANCE SERVICES project description

To overcome traffic problems the traffic signals are made arose at all along roads in cities. But still patients suffer a lot since ambulance has to wait in the traffic and then they have to move on. Here exists a proposed solution where the ambulance can easily pass through the traffic signals through the IOT based monitoring systems. The ambulance may transfer the signal when they are going to reach the signal area. Here the signal system is controlled using the Aurdino UNO microcontroller. The vehicle will transmit the ambulance arrival where the signal receiver receives the signal and change the traffic signal to green when it is in red. The main advantage of the system is where the other traffic lights change to red where interruptions of any other vehicle can be made. Thus, the embedded system helps the ambulance to get patients to hospital without any time delay. The patient’s life can be saved with this embedded implementation in traffic signals.

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