IMPLEMENTASI SISTEM KONTROL PADA TRAFFIC LIGHT UNTUK AMBULANCE

Abstract

Ambulance is a medical transportation tool that plays an important role in the emergency service system. In an ambulance there is a loudspeaker that is used as a danger signal, called an ambulance siren. In Indonesia the use of sirens on emergency vehicles is regulated in the 2009 Law on Road Traffic and Transportation Article 134 and Article 135. Increasing traffic density and lack of concern for emergency vehicles requires innovation in traffic light time management. This research utilizes research and development (R&D) method with an ambulance siren sound signal processing approach using the STFT (Short Time Fourier Transform) algorithm. Audio samples of ambulance siren sounds in .wav format are processed to detect frequencies in the 600 Hz – 850 Hz range, which are then used to control traffic lights. This system is designed to provide a priority green light on the route the ambulance is traveling. The results of this research were obtained from audio data processed using python programming, the library used was numpy for data processing and wave for reading files in .wav format. Then it was tested to obtain frequency signals from original audio, audio that had been influenced by the doppler effect and audio without noise . In the trial phase using a traffic light simulation there were 30 audio data, of the 30 audio there were 12 successful data and 18 failed data. The test results are in accordance with the provisions in the frequency range 600Hz- 850 Hz.