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crossrefApplied Sciences2025-02-08Cited by 5

Applying Machine Learning to Preselective Weighing of Moving Vehicles

Paweł Kowaleczko, Tomasz Kamiński, Mariusz Rychlicki, Zbigniew Kasprzyk, Marek Stawowy, Jacek Trzeszkowski

The paper presents the general characteristics of weighing systems for vehicles in motion. A number of problems and constraints that accompany these systems to ensure adequate accuracy in the operation of these systems are pointed out. The efficient operation of WIM systems is also related to the proper preselection of vehicles for weighing in motion. The next part of the paper presents the basic classification and characteristics of machine learning algorithms, as well as examples of applications and implementations of these algorithms in various industries. The paper presents a model based on the XGBoost algorithm for estimating the weight of vehicles in motion, taking into account key characteristics of vehicles. The model was tested on large datasets from two locations in Poland, achieving high accuracy rates. The results indicate the model’s potential in optimizing preselection systems, allowing for the effective identification of overloaded vehicles. Future work will focus on testing the model at other locations to verify its scalability and operational efficiency.

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crossrefApplied Sciences2024-04-24Cited by 3

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crossrefApplied Sciences2025-02-07Cited by 7

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crossrefApplied Sciences2021-11-25Cited by 7

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First responders including firefighters, paramedics, and police officers are among the first to respond to vehicle collisions on roads and highways. Police officers conduct regular roadside Please check if the country name is correct traffic controls and checks on urban and rural…

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crossrefApplied Sciences2022-11-16Cited by 9

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crossrefApplied Sciences2025-01-27

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The study performed in this article aimed to reproduce the penetrometric profile of the soil from the perforation parameters of deep foundation and ground improvement. This could allow for more easily interpretable information on the soil strength during execution as well as vali…

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crossrefApplied Sciences2026-02-03

The Relationship Between Breakdowns and Production, and the Detection of Breakdown Units in Mining Vehicles Using Machine Learning

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The mining industry relies heavily on large-scale machinery, making operational efficiency highly sensitive to equipment breakdowns and maintenance interruptions. Such breakdowns directly affect production performance, operational costs, and planning accuracy. Therefore, the abil…

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