Inertial evaluation of the tyre-road interaction during emergency braking

Kashkanov, Andriy; Diorditsa, V.M.; Kucheruk, V. Yu.; Karabekova, D.Zh.; Khassenov, Auyez; Sharzadin, A.M.

doi:10.31489/2019ph2/82-91

Cited by 5 publications

(6 citation statements)

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“…3) are considered as linguistic variables which are assigned to the respective universal sets and are estimated via the fuzzy terms. The list of the most significant factors has been established by reviewing the data furnished by the Bosch experts [3,15] and based on our own theoretical findings [10,16,17].…”

Section: Identification Methods and Structure Of Adhesion Coefficient Estimation Systemmentioning

confidence: 99%

“…Basing on the given values j, a motor expert is able to estimate objectively the braking length of the motor vehicle and its speed at the start of braking. The acquired experimental data relating to the braking dynamics of Category M1 and N1 motor vehicles, which were published by the authors hereof in their paper [17], were used to ensure the process of parametric identification of the neuro-fuzzy system (Fig. 4).…”

Section: Experimental Research Into Tyre-road Engagement In Case Of Emergency Braking and System Parametric Identificationmentioning

confidence: 99%

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Tyre-Road friction Coefficient: Estimation Adaptive System

Kashkanov¹,

Ротштейн²,

Kucheruk³

et al. 2020

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This paper offers an upgraded method for estimating the magnitude of friction between tyres of a motor vehicle and a road surface while investigating road accidents. The above-mentioned method is based on the resultant data of tyre-and-road interworking field tests in case of emergency braking. Such estimation of the magnitude of friction is to be carried out with a focus on the factors affecting the friction processes in the tyreand-road contact. The most important factors, which are included in the synthesized adaptive system used for friction coefficient estimation, have been defined based on the theoretical analysis of the data of deceleration and braking length of motor vehicles. The study of the existing expert methods used for estimating the level of tyre-and-road engagement and the effect of such level on the motional parameters of a motor vehicle has demonstrated the need for upgrading of the existing approaches. Unlike the existing practices, the friction coefficient estimation adaptive system offered by the authors hereof is a self-trainable system. Such system reduces any simulation uncertainty and the probability of occurrence of Type 1 and Type 2 errors. Such result is achieved owing to the fact that the system takes into account the upgraded design of the present-day brake systems and tyres, as well as the speed of motor vehicles and load of their wheels; the system is also efficient because it makes use of the up-to-date mathematical methods which are able to process raw (initial) data under conditions of stochastic and fuzzy uncertainty. The approach offered hereby has demonstrated its efficiency for motor vehicles belonging to categories М1 and N1 and has proven its potential applicability for other categories of motor vehicles.

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Section: Identification Methods and Structure Of Adhesion Coefficient Estimation Systemmentioning

confidence: 99%

Section: Experimental Research Into Tyre-road Engagement In Case Of Emergency Braking and System Parametric Identificationmentioning

confidence: 99%

Tyre-Road friction Coefficient: Estimation Adaptive System

Kashkanov¹,

Ротштейн²,

Kucheruk³

et al. 2020

Self Cite

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show abstract

“…Для ілюстрації ефективності розробленого в [6,13,14] підходу визначимо величину гальмівного та зупинного шляху ТЗ у певних дорожніх обставинах на основі розроблених моделей (1)-(5) та порівняємо отримані величини з результатами розрахунку за формулами (6) у програмі «Экспресс анализ ДТП» [15,16] та результатами моделювання у програмі PC-Crash, [15,17] що відображають діючу методику [10][11][12]. При цьому, до уваги візьмемо той факт, що в даному контексті невизначеність довідкових та розрахункових параметрів впливає на інтерпретацію аналітичних результатів.…”

Section: результати дослідженняunclassified

“…Для автомобілів з антиблокувальною система гальм (ABS) та (або) з асистентом гальмування (BA) для визначення зупинного шляху ТЗ пропонується залежність [13] ( )…”

Section: результати дослідженняunclassified

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Improving the quality of auto-technical examination of road accidents in conditions of composition uncertainty

Kashkanov¹,

Reiko²,

Diorditsa³

et al. 2021

JMET

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Decision-making in solving the problems of auto technical examination of road accidents (road accidents) is carried out in conditions of incomplete information, ie in conditions of uncertainty, which may be stochastic or fuzzy in nature, and therefore is compositional. When forming expert opinions of auto technical examination of road accident the general uncertainty is formed due to uncertainty of the chosen structure of model of road accident, experimental data, error of measuring devices, adequacy of model of road accident, uncertainty of indications of witnesses and other proofs, competence and honesty of the expert. The calculation of vehicle parameters in motor vehicle expertise in the vast majority of cases is performed without estimating the error of the results, which does not meet the requirements of the Law of Ukraine "On Metrology and Metrological Activity" and determines the relevance of improving methods of solving road accident technical examination. The paper reveals the prospects of improving the existing methods of assessing the effectiveness of braking of wheeled vehicles, as the main way to prevent accidents in road transport, which is regulated by the current Traffic Rules. The basic theoretical dependences which form a basis of the improved technique of estimation of parameters of movement of cars at braking are presented. Analysis of the results of the calculations shows that by taking into account the design of the braking system, type and condition of tires used in assessing braking efficiency, the improved technique avoids the same solutions within one category of vehicles, and taking into account stochastic and fuzzy uncertainty narrows the range of possible solutions by 49.4 %. The probability of occurrence of type I errors is reduced by 1.75-18.5%, and type II errors - by 43.1-67.8%.

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Estimating the effectiveness of electric vehicles braking when determining the circumstances of a traffic accident

Kashkanov,

Semenov,

Kashkanova

et al. 2023

Sci Rep

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In the vast majority of cases, the braking process is used to prevent traffic accidents. The effectiveness of this process depends on the design and functionality of vehicle braking systems (presence of anti-lock braking system, emergency braking system, preventive safety systems, etc.) and is limited by the amount of frictional forces in contact of tires with the road. The improvement of methodical approaches to evaluating the effectiveness of braking of cars contributes to increasing the accuracy and objectivity of establishing the circumstances of the occurrence of emergency situations. The paper analyses existing methods of evaluating the braking parameters of vehicles (including those with an electric drive) and modern methods of evaluating electric vehicle braking parameters and conducting auto-technical investigations of traffic accidents, which relate to using different methodological approaches and digital technologies at all stages of expert research. In contrast to existing models, the proposed mathematical model for estimating the trajectory of two-axle cars during braking allows for considering various types of input parameter uncertainty, reducing the range of possible modeling errors by 39%. Comparing simulation results and experimental data showed that the average relative error is 4.58%, and the maximum error did not exceed 7.82%. The performed study of the stability of the electric vehicles' movement during emergency braking with the help of developed mathematical models in the Mathcad software environment reveals the content of the algorithm of a similar calculation in specialized computer programs of auto technical examination. Conducting such calculations is relevant in the analysis of real accident situations, where specific circumstances and features that cannot be considered during modeling in specialized software must be taken into account. Simultaneously, the probability of type I errors is reduced by 2–19%, and type II errors are reduced by 43–68%.

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Inertial evaluation of the tyre-road interaction during emergency braking

Cited by 5 publications

References 0 publications

Tyre-Road friction Coefficient: Estimation Adaptive System

Tyre-Road friction Coefficient: Estimation Adaptive System

Improving the quality of auto-technical examination of road accidents in conditions of composition uncertainty

Estimating the effectiveness of electric vehicles braking when determining the circumstances of a traffic accident

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