Ramadhaniar, Alfi (2025) Rancang Bangun Sistem Smart Traffic Light Berbasis IoT Untuk Memprioritaskan Kendaraan Darurat Menggunakan Fuzzy Type-2. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Traffic congestion in urban areas is one of the main obstacles for emergency vehicles such as ambulances, firefighters, and police who need quick access to save lives or get to the scene of an incident. This research aims to design and implement an Internet of Things (IoT)-based smart traffic light system prototype that can prioritize emergency vehicles by detecting siren sounds using a KY-037 sound sensor. The system is controlled by an Arduino Uno R3 microcontroller coupled with an ESP8266 WiFi and uses the Fuzzy Logic Type-2 method to handle the uncertainty of the sound intensity level received by the sensor, as well as determining the duration of the green light in the direction of emergency vehicles using delaytime. In addition, the system is equipped with a manual control feature based on the Blynk IoT application to allow direct intervention in certain situations applied directly by officers. The test results show that the prototype system is able to identify the sound of emergency vehicle sirens and respond by changing the traffic light signal to green to prioritize the flow of emergency vehicles, as well as returning to normal mode after the vehicle passes. The system is expected to improve the efficiency of emergency services and reduce the impact of emergency vehicles stuck in traffic jams at intersections
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | T Technology > T Technology (General) T Technology > TT Handicrafts Arts and crafts |
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| Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
| Depositing User: | Alfi Ramadhaniar | ||||||||||||
| Date Deposited: | 13 Jun 2025 03:22 | ||||||||||||
| Last Modified: | 13 Jun 2025 03:22 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/37293 |
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