Zobrazeno 1 - 10
of 653
pro vyhledávání: '"Road friction"'
Autor:
Hadi Sazgar, ali keymasi khalaji
Publikováno v:
International Journal of Advanced Design and Manufacturing Technology, Vol 17, Iss 3, Pp 49-64 (2024)
In critical manoeuvres where the maximum tire-road friction capacity is used, the vehicle's dynamic behaviour is highly nonlinear, and there are strong couplings between longitudinal and lateral dynamics. If the tire-road friction conditions change s
Externí odkaz:
https://doaj.org/article/1b78f392ecf34c59a295bd2794ce5511
Autor:
Manbok Park, Seongjin Yim
Publikováno v:
Machines, Vol 12, Iss 11, p 764 (2024)
This paper presents a method to design a path-tracking controller with an adaptive preview distance scheme for autonomous vehicles. Generally, the performance of a path-tracking controller depends on tire–road friction and is severely deteriorated
Externí odkaz:
https://doaj.org/article/02012e553ca848ceb750fbdc70892120
Publikováno v:
The Baltic Journal of Road and Bridge Engineering, Vol 18, Iss 3, Pp 102-123 (2023)
The treatment and analysis of accidents involving heavy transport vehicles and pedestrians include the identification and treatment of a certain number of factors that may differ from the cases of passenger vehicle-pedestrian accidents. The aim of th
Externí odkaz:
https://doaj.org/article/fd633df3136c43e28740b76ce6f20d16
Publikováno v:
Symmetry, Vol 16, Iss 7, p 792 (2024)
In order to reduce the use of wheel angular velocity sensors and improve the estimation accuracy and robustness of the tire–road friction coefficient (TRFC) in non-Gaussian noise environments, this paper proposes a sensorless control-based distribu
Externí odkaz:
https://doaj.org/article/3904dfc6f96c4352a976503ff15a7d6c
Akademický článek
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Autor:
Daeyi Jung
Publikováno v:
IEEE Access, Vol 11, Pp 82696-82708 (2023)
Our previous study focused on the development of artificial neural network (ANN) classifier estimating the maximum static road friction coefficient for each wheel of the vehicle based on the Carsim/Simulink co-simulation environment by utilizing only
Externí odkaz:
https://doaj.org/article/296eecadb0a0423cb2e851b9542a993f
Autor:
Xueru Ding, Tae J. Kwon
Publikováno v:
Future Transportation, Vol 2, Iss 4, Pp 970-987 (2022)
Road friction has long been recognized as one of the most effective winter road maintenance (WRM) performance measures. It allows WRM personnel to make more informed decisions to improve their services and helps road users make trip-related decisions
Externí odkaz:
https://doaj.org/article/91e20da85ab144f3bc0adff66733d3c4
Autor:
Asmus Skar, Anders M. Vestergaard, Thea Brüsch, Shahrzad Pour, Ekkart Kindler, Tommy Sonne Alstrøm, Uwe Schlotz, Jakob Elsborg Larsen, Matteo Pettinari
Publikováno v:
Data in Brief, Vol 49, Iss , Pp 109426- (2023)
This data article presents the details of the Live Road Assessment Custom Dataset (LiRA-CD), an open-source dataset for road condition modelling and research. The dataset captures GPS trajectories of a fleet of electric vehicles and their time-series
Externí odkaz:
https://doaj.org/article/c229bdf2646c4ee3a634da582e4a1fea
Akademický článek
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Publikováno v:
Defence Technology, Vol 18, Iss 1, Pp 119-132 (2022)
Because of the complexities of tire-road interaction, the wheels of a multi-wheel distributed electric drive vehicle can easily slip under certain working conditions. As wheel slip affects the dynamic performance and stability of the vehicle, it is c
Externí odkaz:
https://doaj.org/article/1d33217ab2374b3a87defdf80d907caa