Results 1 to 10 of about 1,868,706 (140)

Predicting the Wear Amount of Tire Tread Using 1D−CNN [PDF]

Sensors
Since excessively worn tires pose a significant risk to vehicle safety, it is crucial to monitor tire wear regularly. This study aimed to verify the efficient tire wear prediction algorithm proposed in a previous modeling study, which minimizes the ...
Hyunjae Park, Junyeong Seo, Kangjun Kim, Taewung Kim   +3 more
doaj   +7 more sources

Comparison of Performance of Predicting the Wear Amount of Tire Tread Depending on Sensing Information

Sensors, 2023
Excessive tire wear can affect vehicle driving safety. While there are various methods for predicting the tire wear amount in real-time, it is unclear which method is the most effective in terms of the difficulty of sensing and prediction accuracy.
Kangjun Kim, Hyunjae Park, Taewung Kim
doaj   +7 more sources

Automobile tire life prediction based on image processing and machine learning technology

Advances in Mechanical Engineering, 2021
With economic growth, automobiles have become an irreplaceable means of transportation and travel. Tires are important parts of automobiles, and their wear causes a large number of traffic accidents.
Jianchen Zhu, Kaixin Han, Shenlong Wang
doaj   +2 more sources

Development and simulation of a novel mathematical model for an intelligent tire system toward predictive maintenance [PDF]

Scientific Reports
An intelligent tire system autonomously collects and transmits key data on tire and road conditions. As vehicle performance depends on tire dynamics governed by tire–road interactions, accurate tire modeling is essential for optimizing overall ...
Hassan Hijry, Saeed Mohsen, Omar Albalawi, Saad Ali, Ali Alhawiti, Gamal A. Elnashar   +5 more
doaj   +2 more sources

Prediction of Road Accident Risk for Vehicle Fleet Based on Statistically Processed Tire Wear Model

Promet (Zagreb), 2022
The goal of the paper is to investigate the impact of tire tread depth on road accident risk and to develop an accident rate prediction model. The state of 4288 vehicle tires using tread depth gauge was inspected and processed statistically.
Robertas Pečeliūnas, Vidas Žuraulis, Paweł Droździel, Saugirdas Pukalskas   +3 more
doaj   +4 more sources

Machine learning helps reveal key factors affecting tire wear particulate matter emissions

Environment International
Tire wear particles (TWPs) are generated with every rotation of the tire. However, obtaining TWPs under real driving conditions and revealing key factors affecting TWPs are challenging.
Zhenyu Jia, Jiawei Yin, Tiange Fang, Zhiwen Jiang, Chongzhi Zhong, Zeping Cao, Lin Wu, Ning Wei, Zhengyu Men, Lei Yang, Qijun Zhang, Hongjun Mao   +11 more
doaj   +3 more sources

Exact Inference and Prediction for Exponential Models Under General Progressive Censoring with Application to Tire Wear Data

Mathematics
General progressive Type-II censoring is widely applied in life-testing experiments to enhance efficiency by allowing early removal of surviving units, thereby reducing experimental time and cost.
Chien-Tai Lin
doaj   +2 more sources

Modeling of street-scale pollutant dispersion by coupled simulation of chemical reaction, aerosol dynamics, and CFD [PDF]

Atmospheric Chemistry and Physics, 2023
In the urban environment, gas and particles impose adverse impacts on the health of pedestrians. The conventional computational fluid dynamics (CFD) methods that regard pollutants as passive scalars cannot reproduce the formation of secondary pollutants ...
C. Lin, Y. Wang, R. Ooka, C. Flageul, Y. Kim, H. Kikumoto, Z. Wang, K. Sartelet   +7 more
doaj   +1 more source

The Vertical Force Estimation Algorithm Based on Smart Tire Technology

World Electric Vehicle Journal, 2022
The real-time monitoring of the vertical force of the tire is the basis for ensuring the driving safety, handling stability, fuel economy and the riding comfort of the vehicle.
Tianli Gu, Bo Li, Zhenqiang Quan, Shaoyi Bei, Guodong Yin, Jinfei Guo, Xinye Zhou, Xiao Han   +7 more
doaj   +1 more source

Methodology for Virtual Prediction of Vehicle-Related Particle Emissions and Their Influence on Ambient PM₁₀ in an Urban Environment

Atmosphere, 2022
As a result of rising environmental awareness, vehicle-related emissions such as particulate matter are subject to increasing criticism. The air pollution in urban areas is especially linked to health risks.
Toni Feißel, Florian Büchner, Miles Kunze, Jonas Rost, Valentin Ivanov, Klaus Augsburg, David Hesse, Sebastian Gramstat   +7 more
doaj   +1 more source