Antilock braking system (ABS) stops a vehicle wheel without locking while decreasing the stopping distance. Here we use fuzzy logic to detect the road conditions. Vehicle dynamics and braking systems is complex and proposed controller in different road detected states. They behave strongly non-linear which causes difficulties in developing a classical controller for ABS. Fuzzy logic, however fa...

Intelligent systems designed to reduce highway fatalities have been widely applied in the automotive sector in the last decade. Of all users of transport systems, pedestrians are the most vulnerable in crashes as they are unprotected. This paper deals with an autonomous intelligent emergency system designed to avoid collisions with pedestrians. The system consists of a fuzzy controller based on...

We derive new upper limits on the ellipticity of pulsars whose braking index has been measured, more tightening than those usually given, assuming that both a gravitational torque and an electromagnetic one act on them. We show that the measured braking indexes of pulsars are recovered in this model. We consider the electromagnetic torque both constant and varying with time. At the same time co...

In this paper, a decentralized integrated control structure ...

We analyzed drivers’ braking behavior to minimize over-dependence on the system in the design of the Forward Collision Avoidance Assistance System. There are various factors that influence over-dependence on the system. We focused on the braking algorithm to minimize interference between driver operation and system actuation in this study. It was proven that all subjects initiated the braking o...

In order to improve the reliability and braking torque of aircraft electric braking system, this paper selected switched reluctance motor (SRM) as drive motor of electromechanical actuator, static torque data of SRM calculated by finite element analysis were used as training samples, then characteristics of torque-angle were obtained off-line by Generalized Regression Neural Network with partic...

We investigate the feasibility of classifying (inferring) the emergency braking situations in road vehicles from the motion pattern of the accelerator pedal. We trained and compared several classifiers and employed genetic algorithms to tune their associated hyperparameters. Using offline time series data of the dynamics of the accelerator pedal as the test set, the experimental results suggest...

The paper presents an application of neural networks to control braking torques on wheels of an articulated vehicle in an untripped rollover manoeuvre. The numerical model of the articulated vehicle and dynamic optimisation were used to calculate appropriate braking torques for each wheel in order to restore stability. The optimisation problem requires the equations of motion to be integrated a...

The main object was to perform simulations using a realistic model of a truck and trailer passing over a flexible bridge structure. The bridge structure was simplified to a flat surface modeled using shell finite elements. Tire normal, lateral and longitudinal forces were applied to the bridge. Three driving cases were considered: straight forward driving with and without braking and a lane cha...