Hardware simulation of automatic braking system based on fuzzy logic control
In certain situations, a moving or stationary object can be a barrier for a vehicle. People and vehicles crossing could potentially get hit by a vehicle. Objects around roads as sidewalks, road separator, power poles, and railroad gates are also a potential source of danger when the driver is inattentive in driving the vehicle. A device that can help the driver to brake automatically is known as Automatic Braking System (ABS). ABS is a part of the Advanced Driver Assistance Systems (ADAS), which is a device designed to assist the driver in driving the process. This device was developed to reduce human error that is a major cause of traffic accidents. This paper presents the design of ABS based on fuzzy logic which is simulated in hardware by using a remote control car. The inputs of fuzzy logic are the speed and distance of the object in front of the vehicle, while the output of fuzzy logic is the intensity of braking. The test results on the three variations of speed: slow-speed, medium-speed, and high-speed shows that the design of ABS can work according to design.
NHTSA, "Traffic Safet Facts," National Center for Statistics and Analysis, NHTSA, Washington, DC, 2014.
Henrik Clasen, "Rear-End Accident Statistics Stationary Vehicles vs. Stopped and Moving," CLEPA, Sweden, 2009.
Sutanto Soehodo, "Road Accidents in Indonesia," IATSS Research, vol. 33, no. 2, 2009.
C Grover et al., "Automated Emergency Brake Systems: Technical requirements, costs and benefits," TRL, 2008.
Noor Cholis Basjaruddin et al., "Developing Adaptive Cruise Control Based on Fuzzy Logic Using Hardware Simulation," International Journal of Electrical and Computer Engineering (IJECE), vol. 4, no. 6, 2014.
Noor Cholis Basjaruddin et al., "Overtaking Assistant System based on Fuzzy Logic," Telkomnika (Telecommunication Computing Electronics and Control), vol. 13, no. 1, 2015.
Noor Cholis Basjaruddin et al., "Lane Keeping Assist System Based on Fuzzy Logic," in 2015 International Electronics Symposium (IES), PENS, Surabaya, 2015.
John L. Campbell et al., "Crash Warning System Interfaces:Human Factors Insights and Lessons Learned," Washington, DC, 2007.
Ming-Fong Tsai et al., "Cooperative emergency braking warning system in vehicular networks," Journal on Wireless Communications and Networking, vol. 2015, 2015.
Takahiro Wada et al., "Effect of Activation Timing of Automatic Braking System on Driver Behaviors," in SICE Annual Conference, Taipei, 2010.
Vicente Milanés et al., "Vision-based active safety system for automatic stopping," Expert Systems with Applications, vol. 39, 2012.
Christoph G. Keller et al., "Active Pedestrian Safety by Automatic Braking and Evasive Steering," IEEE Transaction on Intelligent Transportation Systems, vol. 12, no. 4, December 2011.
Shrey Modi et al., "A Driver-Automation System for Brake Assistance in Intelligent Vehicles," in 10th IEEE International Conference on Industrial Informatics (INDIN), Beijing, 2012, pp. 446 - 451.
G. Chandrasekaran, "VANETs: The Networking Platform for Future Vechicular Applications," in Mobile Networking for Vehicular Environments, Los Angeles, 2009, pp. 109-114.
Sherali Zeadally et al., "Vehicular ad hoc networks (VANETS): status, results, and challenges," Telecommun Syst, 2010.
Wahyu Eko Phasa, "Automatic Braking System on Remote Control Car," Bandung, 2013.
ML Sharma and Sheetal Atri, "Fuzzy Rule based Automatic Braking System in Train using VHDL," International Journal of Computer Science and Technology, vol. 2, no. 2, pp. 332-335, 2011.
J.H Li and H.M Kim, "Design for the Predictor of the Emergency Braking System Based on Fuzzy Algorithm," Journal of Automation and Control Engineering Vol.1 No.3, vol. 1, no. 3, pp. 240-244, 2013.
Dhivya P and Murugesan A, "Intelligent Car Braking System with Collision Avoidance and ABS," International Journal of Computer Applications, 2015.
Virna Apriani Azis, "Automatic Braking System Based on Fuzzy Logic," Electrical Engineering, Politeknik Negeri Bandung, Bandung, Final Project 2014.
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