Non-Linear Method of Vehicle Velocity Determination Based on Tensor Product B-Spline Approximation with Probabilistic Weights for NHTSA Database of Compact Vehicle Class
Source abstract
Abstract
This research article focuses on the method of vehicle crash velocity evaluation based on the tensor product approximation by B-splines. Weights associated with each observation are introduced in the least square method, which is based on probabilistic reasoning. The presented calculation algorithm is built based on the Compact vehicle class from the NHTSA database, which consists of 338 records of frontal crashes with stationary obstacles. The presented model is restricted to velocities in the range between 43 and 93.5 km/h. The relative error obtained for the presented calculation method is 5.2%. Hence, improvement has been observed in comparison with the linear model with the same probabilistic weights approach, for which relative error is equal to 5.47%.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Automotive and Human Injury Biomechanics · Transportation Safety and Impact Analysis · Cellular and Composite Structures
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Road and Urban Transport, University of Žilina, 010-26 Žilina, Slovakia
Division of Ecotechnics, Lodz University of Technology, 90-924 Łódź, Poland
Institute of Mathematics, Lodz University of Technology, 90-924 Łódź, Poland
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, 44-100 Gliwice, Poland
Department of Automotive Engineering and Transport, Kielce University of Technology, Avenue Tysiaclecia Państwa Polskiego 7, 25-314 Kielce, Poland
Wydział Humanistyczny, Uniwersytet im. Jana Kochanowskiego w Kielcach (Jan Kochanowski University of Kielce), ul Żeromskiego 5, 25-369 Kielce, Poland
Funding
Slovak Research and Development Agency · National Science Center (NCN), Poland
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