SIMULASI PENGATUR TRAFFIC LIGHT BERDASARKAN KEPADATAN KENDARAAN MENGGUNAKAN METODE HAAR CASCADE
| Main Author: | Baydhowi, Indra |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/47395/37/PENDAHULUAN.pdf http://eprints.umm.ac.id/47395/2/BAB%20I%20PENDAHULUAN.pdf http://eprints.umm.ac.id/47395/3/BAB%20II%20LANDASAN%20TEORI.pdf http://eprints.umm.ac.id/47395/4/BAB%20III%20PERANCANGAN.pdf http://eprints.umm.ac.id/47395/5/Bab%20IV.pdf http://eprints.umm.ac.id/47395/6/BAB%20V%20PENUTUP.pdf http://eprints.umm.ac.id/47395/ |
Daftar Isi:
- In the traffic light settings contained on the highway generally use fixed time traffic signal traffic lights that operate using fixed and unchanged time, so it is necessary to do research on controlling traffic light based on vehicle density using the haar cascade method. This study aims to develop and evaluate traffic light control performance in the Python application. To be able to identify vehicle images in an image, the haar cascade method is an object detection method by combining Haar Like Feature and Cascade Classifier. The results of the research are grayscale images of vehicle objects, comparison of the number of pixels, vehicle density and duration of the traffic light. So that it can show that the arrangement of traffic light based on vehicle density using the haar cascade method is different from conventional light traffic settings. After conducting a series of tests and analyzes of the simulations made, it can be concluded that the implementation of the haar cascade method for vehicle detection has been successful. The accuracy of the system runs well in accordance with the results of video capture with the ideal distance and lighting in field conditions. Keywords: Traffic Light, Haar Cascade, object detection, phyton