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Job Resume TemplatePARTICLE SWAM OPTIMIZATION FOR TRAFFIC CLEARANCE SERVICES project features and function requirement. Share IoT Raspberry Pi Project ideas and topics with us. Grate and many IoT Raspberry Pi project ideas and topics . Here some IoT Raspberry Pi project ideas for research paper. Here large collection of IoT Raspberry Pi project with source code and database. We many idea to development application like mobile application,desktop software application,web application development. You can find more project topics and ideas on IoT Raspberry Pi. Development ideas on PARTICLE SWAM OPTIMIZATION FOR TRAFFIC CLEARANCE SERVICES. You can find Top Downloaded IoT Raspberry Pi projects here. Many project available to download with IoT Raspberry Pi source code and database. Free download PARTICLE SWAM OPTIMIZATION FOR TRAFFIC CLEARANCE SERVICES project synopsis available.
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| 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 | 1047 |
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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