Sistem Penghindar Tabrakan Frontal Berbasis Logika Fuzzy

  • Noor Cholis Basjaruddin Politeknik Negeri Bandung
  • Kuspriyanto Institut Teknologi Bandung
  • Didin Saefudin Politeknik Negeri Bandung
  • Ganda Putra Politeknik Negeri Bandung
Keywords: head-on collision avoidance system, tabrakan frontal, logika fuzzy

Abstract

About 10% of collisions resulting in death is due to frontal collision. Head-on Collision Avoidance System (HCAS) is a device that can prevent a frontal collision by means of braking or evasive. Two ultrasonic sensors are used to monitor the vehicles in front and to the right. Two distances are observed by sensors, then become input for decision making system based on fuzzy logic. This decision-making system output is the vehicle forward, stop, or evasive movement. Simulation result using a remote control car proves that the decision making system designed with fuzzy logic can work with a success rate of over 90%.

References

NHTSA, ”A Compilation of Motor Vehicle CrasTraffic Safety Facts 2012: Data from the Fatality Analysis Reporting System and the General Estimates System,” Washington, DC, 2012.

P. Salmon, M. Regan, dan I. Johnston, ”Human Error and Road Transport: Phase Two – A framework for an error tolerant road transport system,” Victoria, 2006.

NHTSA, ”National Motor Vehicle Crash Causation Survey,” Washington, DC, 2008.

D. Yulianto dan H. Yuliansyah, ”Rancang Bangun Aplikasi Traffic Counter RFID,” Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI), vol. 4, nr 1, pp. 32-38, 2015.

R. Somya dan F. J. Kambey, ”Pembuatan Sistem Informasi Transportasi Umum di Kota Surakarta dengan Framework Sencha Touch,” Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI), vol. 4, nr 4, 2015.

N. C. Basjaruddin, Kuspriyanto, D. Saefudin, dan I. K. Nugraha, ”Developing Adaptive Cruise Control Based on Fuzzy Logic Using Hardware Simulation,” International Journal of Electrical and Computer Engineering (IJECE), 2014.

N. C. Basjaruddin, Kuspriyanto, D. Saefudin, E. Rakhman, dan A. M. Ramadlan, ”Overtaking Assistant System Based on Fuzzy Logic,” Telkomnika, vol. 13, nr 1, March 2015.

A. Colombo dan D. D. Vecchio, ”Efficient algorithms for collision avoidance at intersections,” i Proceedings of the 15th ACM international conference on Hybrid Systems: Computation and Control , New York, 2012.

M. Hafner, D. Cunningham, L. Caminiti, dan D. Del Vecchio, ”Cooperative Collision Avoidance at Intersections: Algorithms and Experiments,” IEEE Transactions on Intelligent Transportation Systems, vol. 14, nr 3, pp. 1162 - 1175, August 2013.

S.Ramesh, R. Ranjan, R. Mukherjee, dan S. Chaudhuri, ”Vehicle Collision Avoidance System Using Wireless Sensor Networks,” International Journal of Soft Computing and Engineering (IJSCE), vol. 2, nr 5, November 2012.

A. Amditis, A. Polychronopoulos, G. K. Ioannis Karaseitanidis, dan E. Bekiaris, ”Multiple - Sensor - Collision avoidance system for automotive applications using an IMM approach for obstacle tracking,” i Proceedings of the Fifth International Conference on Information Fusion, Annapolis, MD, USA, 2002.

J. Jansson dan F. Gustafsson, ”A framework and automotive application of collision avoidance decision making,” Automatica, vol. 44, p. 2347–2351, 2008.

M. Valdés-Vela, R.Toledo-Moreo, F.Terroso-Sa´enz, dan M.A.Zamora-Izquierdo, ”An application of a fuzzy classifier extracted from data for collision avoidance support in road vehicles,” Engineering Applications of Artificial Intelligence, vol. 26, nr 1, p. 173–183, January 2013.

G. Putra, ”Hardware Simulation of Head-on Collision Avoidance System based on Fuzzy Logic,” Bandung, 2013.

L. Msc.Marvin dan A. Alves, September 2014. [Online]. Available: https://github.com/zerokol/eFLL.

How to Cite
Noor Cholis Basjaruddin, Kuspriyanto, Didin Saefudin, & Ganda Putra. (1). Sistem Penghindar Tabrakan Frontal Berbasis Logika Fuzzy. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 5(3), 228-232. Retrieved from https://jurnal.ugm.ac.id/v3/JNTETI/article/view/2940
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