Ananda, Muhammad Faiez (2018) Pengembangan Sistem Cerdas Pengaturan Rute Kendaraan Darurat Menggunakan Metode Fuzzy Berdasarkan Jarak dan Urutan Prioritas. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kendaraan darurat seperti mobil pemadam kebakaran dan mobil ambulans adalah kendaraan yang membutuhkan rute dan waktu tercepat saat beroperasi. Untuk mempercepat sampainya kendaraan darurat ke lokasi kejadian, kendaraan darurat sudah dilengkapi oleh lampu sirine dan suara sirine. Namun, karena perilaku pemakai lalu lintas yang lain dan tingginya tingkat kemacetan di kota besar, kendaraan darurat sering terlambat tiba di tempat kejadian dan mengakibatkan jatuhnya korban jiwa dan kerugian harta yang tidak sedikit. Untuk mengatasi masalah tersebut, perlu ada Intelligent Transportation System (ITS) untuk mengatur rute kendaraan darurat agar dapat berkerja lebih cepat.
Pengembangan ITS pada Tugas Akhir ini akan menerapkan metode fuzzy dalam bentuk fuzzy control system untuk menentukan prioritas kendaraan darurat. Nilai prioritas yang dihasilkan dari fuzzy control system digunakan sebagai parameter utama dalam mengatur rute dan merekayasa lampu lalu lintas di persimpangan terutama jika ada collision antar kendaraan darurat yang terjadi. Google Maps Directions API akan digunakan untuk mencari rute tercepat untuk kendaraan darurat.
Dari hasil uji coba yang telah dilakukan, didapatkan bahwa penerapan metode fuzzy dapat membantu mengatasi masalah collision antar kendaraan darurat yang terjadi di persimpangan dengan penentuan prioritas sebelum melakukan rekayasa lampu lalu lintas dengan kecepatan waktu eksekusi penentuan prioritas rata-rata 13,385 ms dan kecepatan waktu eksekusi pengaturan rute rata-rata 215,638 ms. Penggunaan Google Maps Directions API untuk mencari rute dan penerapan formula Haversine untuk mencari rumah sakit atau pusat pemadam kebakaran terdekat dapat membantu kinerja kendaraan darurat dalam menangani berbagai insiden dengan kecepatan waktu eksekusi rata-rata 19,24 ms.
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Emergency vehicles such as firefighters and ambulances are types of vehicles that need fastest route and time while working. To speed up the arrival of emergency vehicles to location of the incident, emergency vehicles are already equipped by sirens. However, due to the behaviour of other traffic users and the high level of traffic congestion in large cities, emergency vehicles are often late when arriving to location of the incident and resulting in casualties and loss of property. To overcome this problems, an Intelligent Transportation System (ITS) is needed to set the route of emergency vehicles in order to work faster.
Development of ITS in this undergraduate thesis will implements the fuzzy method in form of fuzzy control system to determine the priority of emergency vehicle. The priority value generated by fuzzy control system will be used as the main parameter when controlling the routes and traffic lights at the intersection, especially if there is a collision occurred between emergency vehicles. Google Maps Directions API will be used to find the fastest route for emergency vehicles.
From the experiment results, the implementation of fuzzy method can help overcome the problem of collision between emergency vehicles occurred at the intersection with priority determination before controlling the traffic lights with an average priority determination execution time of 13.385 ms and average execution time of 215.638 ms for route control. The use of Google Maps Directions API to find the fastest route and the implementation of Haversine formula to find the nearest hospital or fire station can help the performance of emergency vehicle in handling incidents with an average execution time of 19.24 ms.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSIf 006.333 Ana p-1 3100018074598 |
| Uncontrolled Keywords: | Intelligent Transportation System (ITS); Kendaraan darurat; Prioritas; Rekayasa lalu lintas; Google Maps API; emergency vehicle; priority; traffic control |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software Q Science > QA Mathematics > QA9.64 Fuzzy logic |
| Divisions: | Faculty of Information Technology > Informatics Engineering > 55201-(S1) Undergraduate Thesis |
| Depositing User: | Muhammad Faiez Ananda |
| Date Deposited: | 09 Apr 2018 02:06 |
| Last Modified: | 21 Sep 2020 04:49 |
| URI: | http://repository.its.ac.id/id/eprint/50504 |
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