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Application of weigh-in-motion technologies for pavement and bridge response monitoring: State-of-the-art review
Overweight vehicles may cause damage and premature deterioration of pavement and
bridge structures. Weigh-in-Motion (WIM) is efficient in avoiding structural damage and …
bridge structures. Weigh-in-Motion (WIM) is efficient in avoiding structural damage and …
Assessing countries' performances against COVID-19 via WSIDEA and machine learning algorithms
N Aydin, G Yurdakul - Applied Soft Computing, 2020 - Elsevier
The COVID-19 pandemic, which first spread to the People of Republic of China and then to
other countries in a short time, affected the whole world by infecting millions of people and …
other countries in a short time, affected the whole world by infecting millions of people and …
[HTML][HTML] Monitoring vehicles with permits and that are illegally overweight on bridges using weigh-in-motion (WIM) devices: A case study from Brescia
Bridges are amongst the most vulnerable elements of road networks. Since vehicles with
permits and that are illegally overweight can pose a threat to bridge safety, implementation …
permits and that are illegally overweight can pose a threat to bridge safety, implementation …
Prediction of air voids of asphalt layers by intelligent algorithm
Y Zhao, K Zhang, Y Zhang, Y Luo, S Wang - Construction and Building …, 2022 - Elsevier
The objective of the study was to give a suitable prediction method of air voids of asphalt
layers in the process of construction. Seven different methods are utilized to predict the air …
layers in the process of construction. Seven different methods are utilized to predict the air …
The prediction of durability to freeze–thaw of limestone aggregates using machine-learning techniques
To design structures such as buildings, roads, highways, bridges, and railroads, one of the
most important parameters is the freeze–thaw resistance of aggregate. The direct analysis of …
most important parameters is the freeze–thaw resistance of aggregate. The direct analysis of …
Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
It is challenging to predict the mechanical properties of modified asphalt binders because of
their complex non-linear viscoelastic behavior. This study evaluates and compares the …
their complex non-linear viscoelastic behavior. This study evaluates and compares the …
Analysis of factors contributing to the injury severity of overloaded-truck-related crashes on mountainous highways in China
H Wen, Y Du, Z Chen, S Zhao - International journal of environmental …, 2022 - mdpi.com
Overloaded transport can certainly improve transportation efficiency and reduce operating
costs. Nevertheless, several negative consequences are associated with this illegal activity …
costs. Nevertheless, several negative consequences are associated with this illegal activity …
Driving risk identification of truck drivers based on China's highway toll data
Z Yang - Sustainability, 2024 - mdpi.com
Dangerous or illegal driving may disrupt the traffic safety management of public security
organs, damage road infrastructure, lead to traffic accidents, or result in economic losses …
organs, damage road infrastructure, lead to traffic accidents, or result in economic losses …
[HTML][HTML] Map** hazardous locations on a road network due to extreme gross vehicle weights
This study investigates the application of hazard maps in identifying critical locations
associated with extreme vehicle load events. Examining extreme vehicle loads can offer …
associated with extreme vehicle load events. Examining extreme vehicle loads can offer …
Road safety performance monitoring practices: A literature review
Road traffic crashes remain a major concern worldwide. They are considered by the World
Health Organization as one of the leading causes of death worldwide. To address this road …
Health Organization as one of the leading causes of death worldwide. To address this road …