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A nonlinear analytical approach for estimating vehicle braking distance based on multi-body dynamic simulation
The friction coefficient resulting from the road surface condition directly affects the vehicle braking condition and distance. In the American...
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Determination of Zipline Braking Distance
This paper defines the determination of zipline passengers braking distance. Considering that there is currently no legal regulation in Serbia which...
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Braking distance prediction for vehicle consist in low-speed on-sight operation: a Monte Carlo approach
The first and last mile of a railway journey, in both freight and transit applications, constitutes a high effort and is either non-productive (e.g....
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Train Resistance and Braking Distance
This chapterBraking distance deals with the main descriptive models of train resistance which can be interestingly applied in designing railway lines...
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Analysis of Hydraulic Regenerative Braking System
In order to have a further research on pneumatic regenerative braking system, a simulation model was established and validated based on the...
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Deep Learning Based Distance Estimation Method Using SSD and Deep ANN for Autonomous Braking/Steering
The Automatic Emergency Braking (AEB) system is a mechanism that enables drivers to leverage the capabilities of their vehicles by warning them of...
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Braking Performance
The goal of this chapter is to understand how to stop a vehicle as soon as possible, avoiding wheel locking. This result can be achieved only if the...
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In-situ braking torque and temperature analysis of two-wheeler drum brake in friction braking
Generally, two-wheelers consist of a drum brake on the rear wheel. The performance of the brake deteriorates drastically due to the continuous use of...
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Regenerative Braking Control of Brushless DC Motors with Type 2 Fuzzy Logic Controller
The aim of this study is to model the brushless direct current motors and regenerative braking system used in electric vehicles using intelligent...
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Method of Predicting Braking Intention Using LSTM-CNN-Attention With Hyperparameters Optimized by Genetic Algorithm
Prediction of a driver’s braking intention enables the advanced driver assistance system (ADAS) to intervene in the braking system as early as...
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Road Vehicle Braking Performance
The general requirements that a vehicle braking system should meet are self-evident. The brakes should be capable of stop** the vehicle safely...
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EEG-based emergency braking intention detection during simulated driving
BackgroundCurrent research related to electroencephalogram (EEG)-based driver’s emergency braking intention detection focuses on recognizing...
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Backstep** sliding mode-based anti-skid braking control for a civil aircraft
Taking off and landing are critical phases and it is easy to happen flight disaster for them due to complex environment and weather. To improve...
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Electric-hydraulic Compound Control Anti-lock Braking System
An anti-lock control strategy for electric-hydraulic compound braking is proposed to improve the emergency braking safety of a hub motor electric...
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Vehicle Stability Control Through Pre-Emptive Braking
Next-generation accurate vehicle localization and connectivity technologies will enable significant improvements in vehicle dynamics control. This...
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Braking System
Racing vehicles should be able to accelerate as strongly as possible, reach high speeds and also perform rapid changes of direction. One thinks...
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Combined Steering and Braking Collision Avoidance Control Method Based on Model Predictive Control
A combined steering and braking collision avoidance control method based on model predictive control is proposed in the present paper. This method...
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Effect of braking torque on vehicle nonlinear dynamics
Vehicle dynamics system with tires has strong nonlinear characteristics, which brings challenges to dynamics analysis and longitudinal and lateral...
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Enhancement of train braking efficiency by optimal flow control characteristics with aerodynamic braking system
The high speed rail network is an essential part for any country to achieve the development goals within the stipulated time. The speed enhancement...
