FUZZY LOGIC VELOCITY OPTIMIZATION OF AUTONOMOUS VEHICLES BASED ON ROAD BUMP GEOMETRY

Authors

Yassine Zein, Graduate Engineer, Faculty of Engineering, Beirut Arab University, Beirut, LebanonFollow
Mohamad Darwiche, Assistant Professor, Faculty of Engineering, Beirut Arab University, Beirut, LebanonFollow

Keywords

Fuzzy logic control, autonomous vehicles, ride comfort, bump detection

Disciplines

Architecture | Business | Engineering | Physical Sciences and Mathematics

Abstract

In today’s world of fast developing technologies, semi-autonomous vehicles are becoming a common sight and increasing in numbers. Some feature autopilot systems that drive the vehicle without any intervention from the driver in certain situations or warn the driver of dangers ahead. A fully autonomous vehicle is yet to come due to old fashioned road infrastructures that would convey challenging scenarios for it. From speed bumps and traffic lights to road lanes and warning signs, current autopilot systems will have to cope with all. A system that ensures safe crossing of speed bumps when in autopilot mode is discussed in this paper. Crossing a speed bump at high speeds may result in loss of control, suspension failure, onboard cargo damage, and/or compromised passenger comfort. The proposed system can detect a speed bump from a distance, calculate the suitable crossing speed by studying vertical acceleration disturbances, and apply the brakes automatically using a Fuzzy Logic Controller (FLC) to reduce the speed before the car reaches the speed bump.

Recommended Citation

Zein, Yassine and Darwiche, Mohamad (2020) "FUZZY LOGIC VELOCITY OPTIMIZATION OF AUTONOMOUS VEHICLES BASED ON ROAD BUMP GEOMETRY," BAU Journal - Science and Technology: Vol. 1: Iss. 2, Article 2.
DOI: https://doi.org/10.54729/2959-331X.1016

ISSN

2959-331X