On the use of artificial intelligence techniques in intelligent transportation systems

M Machin, JA Sanguesa, P Garrido… - 2018 IEEE wireless …, 2018 - ieeexplore.ieee.org
Due to the progressive increase in the population and the complexity of their mobility needs,
the evolution of transportation systems to solve advanced mobility problems has been …

Modelling and PID control of antilock braking system with wheel slip reduction to improve braking performance

VR Aparow, F Ahmad, K Hudha… - … Journal of Vehicle …, 2013 - inderscienceonline.com
This paper presents the development of a PID controller for an Antilock Braking System
(ABS) using vehicle longitudinal model. A Five Degree of Freedom (5-DOF) vehicle …

The application of driver models in the safety assessment of autonomous vehicles: Perspectives, insights, prospects

C Wang, F Guo, R Yu, L Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Driver models play a vital role in developing and verifying autonomous vehicles (AVs).
Previously, they were mainly applied in traffic flow simulation to model driver behavior. With …

Automated reasoning of vehicle brake-force: a fuzzy inference system model

M Akhtaruzzaman, MA Hossain… - International …, 2022 - inderscienceonline.com
Automatic regulation of vehicle braking system is very crucial to control vehicle speed, keep
it on its track, and avoid any collision. A traditional binary control for brake system is not …

Fuzzy logic torque control system in four-wheel-drive electric vehicles for active damping vibration control

Z Song, J Li, Z Shuai, L Xu… - International Journal of …, 2015 - inderscienceonline.com
In contrast with the conventional vehicle, the four-wheel-drive (4WD) electric vehicle (EV)
has significantly different stiffness and damping coefficients in its driveline because the …

An intelligent contactless brake blending system with advanced driver assistance technique for electric vehicles

LN Patil, HP Khairnar, SG Bhirud - World Journal of Engineering, 2024 - emerald.com
Purpose Electric vehicles are well known for a silent and smooth drive; however, their
presence on the road is difficult to identify for road users who may be subjected to certain …

Design car braking system using mamdani fuzzy logic control

I Rizianiza, A Djafar - 2017 4th International Conference on …, 2017 - ieeexplore.ieee.org
Car braking system is the most important safety system that it has. This paper provides an
automatic car braking system using Mamdani Fuzzy Logic Control. This car breaking system …

Python inspired smart braking system to improve active safety for electric vehicles

L Patil, H Khairnar - International Journal of Automotive and …, 2022 - journal.ump.edu.my
In today's world, electric cars are gaining popularity as a mode of transportation due to their
smooth and comfortable rides. Since electric cars/bikes do not emit exhaust emissions …

[PDF][PDF] Fuzzy Logic-based Adaptive Cruise Control for Autonomous Model Car.

K Alomari, RC Mendoza, S Sundermann, D Goehring… - ROBOVIS, 2020 - researchgate.net
One of the most critical challenges for the driver during highway driving is to adjust the
vehicle speed continuously to maintain safe distance in respect to the heading vehicles or …

Design and Analysis of Rule-Based Fuzzy Logic Controller for Performance Enhancement of the Sugarcane Industry

SH Ahammad, BTP Madhav, SD Pande - Operational Research in …, 2023 - oresta.org
DESIGN AND ANALYSIS OF RULE-BASED FUZZY LOGIC CONTROLLER FOR
PERFORMANCE ENHANCEMENT OF THE SUGARCANE INDUSTRY Page 1 Operational …