An investigation of brake failure related crashes and injury severity on mountainous roadways in Wyoming

Haq, Muhammad Tahmidul; Ampadu, Vincent-Michael Kwesi; Ksaibati, Khaled

doi:10.1016/j.jsr.2022.10.003

Cited by 11 publications

(4 citation statements)

References 36 publications

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“…Brake failure-related crashes were discussed in [47], presenting an increasing rate of brake failure-related crashes with the age of the vehicle, which corresponds to conclusions in [41] presented in Table 1. Since the average age of a vehicle registered in Slovakia is still over 14 years, the drive brake testing feature has become a crucial aspect of this application.…”

Section: Drive Brake Testingsupporting

confidence: 70%

Periodical Vehicle Inspections with Smart Technology

et al. 2023

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This paper presents the major outcomes of the utilization of smart phone applications in the periodical technical inspection process. Road safety is one of the main topics in transportation. Technical defects of vehicles can play an important role in fatal accidents; therefore, periodical vehicle inspection is a common practice amongst many countries across all continents. The authors observed that advancements in smart technologies presented an opportunity to enhance the efficiency and effectiveness of vehicle inspections. They specifically focused on the Slovak Republic and described the transition of technical inspections towards smart technologies in this country. The goal was to utilize new technologies and improvements without increasing costs dramatically. The paper discusses the outcomes of the first two years of using this app at every technical inspection station in the Slovak Republic. The smart phones were used not only to help with process management but the novelty is that they also collected data from the sensors and used their own sensors for the vehicle dynamics measurements. One of the important factors is the successful implementation of low cost devices at such a large scale, country wise.

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Section: Drive Brake Testingsupporting

confidence: 70%

Periodical Vehicle Inspections with Smart Technology

et al. 2023

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“…Brake failure in heavy trucks significantly contributes to severe traffic accidents [1]. A type of auxiliary lane, referred to as a truck escape ramp (TER), has been developed to mitigate these accidents.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Load-Bearing Capacity of Pebble Aggregates

Liu,

Bai,

Liu

2024

Applied Sciences

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The load-bearing capacity of pebble aggregates plays a pivotal role in influencing the operational performance of uncontrolled trucks on arrester beds. The complexity of this phenomenon stems from the nonuniformity in the shapes of the pebbles and their stochastic arrangement within the beds, presenting notable challenges for traditional mathematical modelling techniques in precisely evaluating the contact dynamics of these aggregates. This study leverages the discrete element method (DEM) to extensively analyse the arrester bed aggregate of a standard truck escape ramp. The aforementioned mechanism entails the gathering of morphological parameters of irregularly shaped aggregate particles and introduces a novel method for constructing random shapes that adhere to the observed distribution characteristics. A discrete element model, grounded in the physical properties of these aggregates, is formulated. This study focuses on the aggregate’s load-bearing capabilities, scrutinising the mechanical behaviour of the aggregate particles at the macroscopic and microscopic scales. These insights offer substantial scientific contributions and practical implications for assessing the safety of escape ramps and determining essential parameters for the brake bed design.

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“…In fact, according to [1], faults in the tire and braking system were the most important factors contributing to accidents due to mechanical defects of the vehicle. Furthermore, in [2], it is shown that the likelihood of brake system failure significantly increases with the age of the vehicle. In addition, many types of brake system faults are actively monitored by the driver or the passengers of the vehicle.…”

Section: Introductionmentioning

confidence: 99%

Brake Disc Deformation Detection Using Intuitive Feature Extraction and Machine Learning

Dózsa,

Őri,

Szabari

et al. 2024

Machines

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In this work we propose proof-of-concept methods to detect malfunctions of the braking system in passenger vehicles. In particular, we investigate the problem of detecting deformations of the brake disc based on data recorded by acceleration sensors mounted on the suspension of the vehicle. Our core hypothesis is that these signals contain vibrations caused by brake disc deformation. Since faults of this kind are typically monitored by the driver of the vehicle, the development of automatic fault-detection systems becomes more important with the rise of autonomous driving. In addition, the new brake boosters separate the brake pedal from the hydraulic system which results in less significant effects on the brake pedal force. Our paper offers two important contributions. Firstly, we provide a detailed description of our novel measurement scheme, the type and placement of the used sensors, signal acquisition and data characteristics. Then, in the second part of our paper we detail mathematically justified signal representations and different algorithms to distinguish between deformed and normal brake discs. For the proper understanding of the phenomenon, different brake discs were used with measured runout values. Since, in addition to brake disc deformation, the vibrations recorded by our accelerometers are nonlinearly dependent on a number of factors (such as the velocity, suspension, tire pressure, etc.), data-driven models are considered. Through experiments, we show that the proposed methods can be used to recognize faults in the braking system caused by brake disc deformation.

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An investigation of brake failure related crashes and injury severity on mountainous roadways in Wyoming

Cited by 11 publications

References 36 publications

Periodical Vehicle Inspections with Smart Technology

Periodical Vehicle Inspections with Smart Technology

Analysis of the Load-Bearing Capacity of Pebble Aggregates

Brake Disc Deformation Detection Using Intuitive Feature Extraction and Machine Learning

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