Open Access Open Access  Restricted Access Subscription or Fee Access

Hardware Simulation of Advanced Driver Assistance Systems Based on Fuzzy Logic

(*) Corresponding author

Authors' affiliations



Advanced Driver Assistance Systems (ADAS) is a system that has the function of helping the driver to be safe the trip without reducing the convenience. The subsystems developed in ADAS among other Automatic Braking System (ABS) which functions to make braking decisions when there is an object in front of it, Rear-end Collision Avoidance System (RCAS) that serves to avoid rear-end collision, Active Lane Keeping Assist (ALKA) which serves to keep the vehicle from getting off lane from its proper lane, and Adaptive Cruise Control (ACC) which serves to adjust the distance of the car with another car in front. This paper discusses the development of fuzzy logic based algorithms for those subsystems. The developed algorithm test was conducted using experimental car. The test results on the three variations of speed: slow-speed, medium-speed, and high-speed shows that the algorithm developed of ABS, RCAS, ALKA, and ACC can work according to design.
Copyright © 2018 Praise Worthy Prize - All rights reserved.


Driver Assistance System; Automatic Braking System; Rear-End Collision Avoidance System; Active Lane Keeping Assist; Adaptive Cruise Control

Full Text:



A. Fuller and C. Rogers, "Safety Gear Helps Reduce U.S. Traffic Deaths," 19 December 2014. [Online]. Available: [Accessed 21 May 2015].

K. Bengler, K. Dietmayer, B. Färber, M. Maurer, C. Stiller and H. Winner, "Three Decades of Driver Assistance Systems Review and Future Perspectives," IEEE Intelligent Transportation Systems Magazine, vol. 6, no. 4, pp. 6-22, 2014.

U. DFT, "The Pathway to Driverless Cars Summary report and action plan," London, 2015.

K. Anindyaguna, N. C. Basjaruddin and D. Saefudin, "Overtaking Assistant System (OAS) with Fuzzy Logic Method Using Camera Sensor," in 2nd International Conference of Industrial, Mechanical, Electrical, Chemical Engineering (ICIMECE), Yogyakarta, 2016.

N. C. Basjaruddin, Kuspriyanto, D. Saefudin, E. Rakhman and A. M. Ramadlan, "Overtaking Assistant System based on Fuzzy Logic," Telkomnika (Telecommunication Computing Electronics and Control), vol. 13, no. 1, 2015.

J.-M. Lee, M.-S. Woo and S.-G. Min, "Performance Analysis of WAVE Control Channels for Public Safety Services in VANETs," International Journal of Computer and Communication Engineering, Vol. 2, no. No. 5, pp. 563-570, 2013.

Basjaruddin, N., Kuspriyanto, Priyana, Y., Husni, E., Modeling and Simulation of Overtaking Maneuver Using BDI Agent, (2015) International Review on Modelling and Simulations (IREMOS), 8 (4), pp. 458-465.

O. Gietelink, J. Ploeg, B. D. Schutter and M. Verhaegen, "Development of advanced driver assistance systems with vehicle hardware-in-the-loop simulations," Vehicle System Dynamics, vol. 44, no. 7, pp. 569–590, July, 2006.

A. Bose and P. Ioannou, "Analysis of Traffic Flow with Mixed Manual and Intelligent Cruise Conttrol (ICC) vehicles: Theory and Experiments," CA, USA, 2001.

M. Masikos, F. Cappadona, K. Demestichas, E. Adamopoulou and S. Dreher, "Cooperative Advanced Driver Assistance System for Green Cars," EcoGem Consortium, 2013.

N. C. Basjaruddin, Kuspriyanto, Suhendar, D. Saefudin and V. A. Azis, "Hardware Simulation of Automatic Braking System Based On Fuzzy Logic Control," Journal of Mechatronics, Electrical Power, and Vehicular Technology, vol. 7, no. 1, pp. 1-6, 2016.

C. Grover, I. Knight, F. Okoro, I. Simmons, G. Couper, P. Massie and B. Smith, "Automated Emergency Brake Systems: Technical requirements, costs and benefits," TRL Limited, 2008.

V. Milanés, D. F. Llorca, J. Villagrá, J. Pérez, I. Parra, C. González and M. Sotelo, "Vision-based active safety system for automatic stopping," Expert Systems with Applications, vol. 39, 2012.

C. G. Keller, T. Dang, H. Fritz, A. Joos, C. Rabe and D. M. Gavrila, "Active Pedestrian Safety by Automatic Braking and Evasive Steering," IEEE Transaction on Intelligent Transportation Systems, vol. 12, no. 4, December 2011.

S. Modi, Y. Lin, D. Chesnakov, W. Zhang and G. Yang, "A Driver-Automation System for Brake Assistance in Intelligent Vehicles," in 10th IEEE International Conference on Industrial Informatics (INDIN), Beijing, 2012.

i. H. Jagtman and d. E. Wiersma, "Driving with Adaptive Cruise Control in the Real World," in 16th ICTCT workshop, Delft University of Technology, Delft.

M. Brannstrom, J. Sjoberg and E. Coelingh, "A situation and threat assessment algorithm for a rear-end collision avoidance system," in IEEE Intelligent Vehicles Symposium, Eindhoven, 2008.

L. Yang, J. H. Yang, E. Feron and V. Kulkarni, "Development of a performance-based approach for a rear-end collision warning and avoidance system for automobiles," in IEEE Intelligent Vehicles Symposium, Columbus, 2003.

K. Yamada, T. Ito and K. Nishioka, "Road lane recognition system for RCAS," in IEEE Intelligent Vehicles Symposium, Tokyo, 1996.

T. Kasuga and S. Yakubo, "Design of a Highly Safe Model Vehicle for Rear-End Collision Avoidance Considering Multiple Faults of Sensors," in International Conference on Computational Intelligence, Modelling and Simulation, Brno, 2009.

N. C. Basjaruddin, Kuspriyanto, D. Saefudin and A. Rachman, "Hardware Simulation of Active Lane Keeping Assist Based on Fuzzy Logic," Indonesian Journal of Electrical Engineering and Computer Science, vol. 5, no. 2, pp. 321- 326, 2017.

N. C. Basjaruddin, Kuspriyanto, Suhendar, D. Saefudin and S. A. Aryani, "Lane Keeping Assist System Based on Fuzzy Logic," in 2015 International Electronics Symposium (IES), PENS, Surabaya, 2015.

J.-F. Liu, J.-H. Wu and Y.-F. Su, "Development of an Interactive Lane Keeping Control System for Vehicle," in Vehicle Power and Propulsion Conference, Arlington, TX, 2007.

N. M. Enache, S. Guegan, F. Desnoyer and H. Vorobieva, "Lane Keeping and Lane Departure Avoidance by Rear Wheels Steering," in Intelligent Vehicles Symposium, Alcalá de Henares, Spain, 2012.

A. Rachman, "Lane Keeping Assist on Baterry Toy Car Based on Fuzzy Logic," Electrical Engineering Department, Bandung State Polytechnic, Bandung, 2015.

N. C. Basjaruddin, Kuspriyanto, D. Saefudin and I. K. Nugraha, "Developing Adaptive Cruise Control Based on Fuzzy Logic Using Hardware Simulation," International Journal of Electrical and Computer Engineering (IJECE), vol. 4, no. 6, 2014.

S. Moon, I. iMoon and KyongsuYi, "Design, tuning, and evaluation of a full-range adaptive cruise control system," Control Engineering Practice, vol. 17, p. 442–455, 2009.

G. Naus, J.Ploeg, M.J.G.VandeMolengraft, W.P.M.H.Heemels and M.Steinbuch, "Design and implementation of parameterized adaptive cruise control: An explicit model predictive control approach," Control Engineering Practice, vol. 18, p. 882–892, 2010.

A. Ferrara and C. Vecchio, "Cruise control with collision avoidance for cars via sliding modes," in IEEE International Conference on Control Applications, Munich, 2006.

R. Abou-Jaoude, "ACC Radar Sensor Technology, Test Requirements, and Test Solutions," IEEE Transactions on Intelligent Transportation Systems, vol. 4, no. 3, pp. 115-121, September 2003.

R. Möbus, M. Baotic and M. Morari, "Multi-Object Adaptive Cruise Control," in DaimlerChrysler, Denver, 2003.

J. Heerlein, S. Morgott and C. Ferstl, "Laser diodes for sensing applications: adaptive cruise control and more," in Photonics in the Automobile, Geneva, 2005.

_____________, September 2014. [Online]. Available:


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2024 Praise Worthy Prize