Hardware Simulation of Rear-End Collision Avoidance System Based on Fuzzy Logic
| Main Authors: | Basjaruddin, Noor Cholis, Saefudin, Didin, Pancawati, Anggun |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Universitas Syiah Kuala
, 2020
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| Subjects: | |
| Online Access: |
http://www.jurnal.unsyiah.ac.id/JRE/article/view/15107 http://www.jurnal.unsyiah.ac.id/JRE/article/view/15107/16_1_4_23_28 |
Daftar Isi:
- Rear-end collisions are the most common type of traffc accident. On the highway, a real-end collision may involve more than two vehicles and cause a pile-up or chain-reaction crash. Referring to data released by the Australian Capital Territory (ACT), rear-end collisions which occurred throughout 2010 constituted as much as 43.65% of all collisions. In most cases, these rear-end collisions are caused by inattentive drivers, adverse road conditions and poor following distance. The Rear-end Collision Avoidance System (RCAS) is a device to help drivers to avoid rear-end collisions. The RCAS is a subsystem of Advanced Driver Assistance Systems (ADASs) and became an important part of the driverless car. This paper discusses a hardware simulation of a RCAS based on fuzzy logic using a remote control car. The Mamdani method was used as a fuzzy inference system and realized by using the Arduiono Uno microcontroller system. Simulation results showed that the fuzzy logic algorithm of RCAS can work as designed.