Sayyidah, Azimatul Chusnia and Utami, Wika Dianita (2020) Optimalisasi traffic light berdasarkan kepadatan kendaraan dengan teknik edge detection operator Sobel dan metode fuzzy logic Sugeno: studi kasus: jalan Margorejo Indah. Jurnal Mahasiswa Matematika ALGEBRA, 1 (1). pp. 1-11. ISSN 2774-8677
Wika Dianita Utami_Optimalisasi traffic light berdasarkan kepadatan kendaraan dengan teknik edge detection operator Sobel dan metode fuzzy logic Sugeno.pdf
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Abstract
Traffic jam is one of the many problems of major cities in Indonesia that need to be solved. One form of traffic jam is long queues at traffic light. Therefore, an effort that can be used to reduce traffic jam is to build a better or efficient traffic light control system to manage traffic at a crossroads. A traffic light system that is needed is one that can adjust the time and duration of the traffic lights that are adjusted to the density of road conditions that are not dense, normal, congested, and very dense. Margorejo Indah street at Surabaya is a district that has traffic jam or long queues at certain hours. Optimization of the duration of the green light can be applied by using image data that is simulated with the edge detection method of the Sobel operator resulting in boundary values to then be processed with Sugeno fuzzy logic. The results obtained for a long duration of green light obtained were 37 seconds with regard to road conditions.
Item Type: | Article |
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Additional Information: | https://doi.org/10.29080/algebra.v1i1.5 |
Creators: | Creators Email NIDN Sayyidah, Azimatul Chusnia - - Utami, Wika Dianita wikadianita@uinsby.ac.id 199206102018012003 |
Uncontrolled Keywords: | Traffic light; edge detection operator Sobel; fuzzy logic Sugeno |
Subjects: | 01 MATHEMATICAL SCIENCES > 0101 Pure Mathematics > 010107 Mathematical Logic, Set Theory, Lattices and Universal Algebra 14 ECONOMICS > 1402 Applied Economics > 140207 Financial Economics |
Divisions: | Fakultas Sains dan Teknologi > Prodi Matematika |
Depositing User: | Samidah Nurmayuni |
Date Deposited: | 15 Jun 2022 04:11 |
Last Modified: | 15 Jun 2022 04:11 |
URI: | http://repository.uinsa.ac.id/id/eprint/2520 |