Optimizing machine learning algorithms for improving prediction of bridge deck deterioration: A case study of Ohio bridges
The deterioration of a bridge's deck endangers its safety and serviceability. Ohio has
approximately 45,000 bridges that need to be monitored to ensure their structural integrity …
approximately 45,000 bridges that need to be monitored to ensure their structural integrity …
[HTML][HTML] An improved inspection process and machine-learning-assisted bridge condition prediction model
Bridges have a special place in transportation infrastructures and road networks due to their
direct relationship with other places. These structures have the purpose of maintaining the …
direct relationship with other places. These structures have the purpose of maintaining the …
Feature selection and deep learning for deterioration prediction of the bridges
Bridge deterioration is inevitable in service, and the inspection and maintenance of bridges
are needed to ensure structural integrity. To make cost-effective inspection plans, bridge …
are needed to ensure structural integrity. To make cost-effective inspection plans, bridge …
A deep learning-based approach for assessment of bridge condition through fusion of multi-type inspection data
Bridges typically undergo regular inspections to assess their structural conditions. However,
relying solely on numerical data overlooks valuable information from other data types …
relying solely on numerical data overlooks valuable information from other data types …
Probabilistic deterioration modeling of bridge component condition with random effects
Timely maintenance of bridge components is critical for bridge management functions. With
reliable deterioration models, highway agencies can efficiently allocate funding for bridge …
reliable deterioration models, highway agencies can efficiently allocate funding for bridge …
A procedure for public transit OD matrix generation using smart card transaction data
Most fare collection systems are initially installed as single-purpose devices which are only
used for collecting fare; however, many transit planners consider them as a rich source of …
used for collecting fare; however, many transit planners consider them as a rich source of …
BD-YOLOv8s: enhancing bridge defect detection with multidimensional attention and precision reconstruction
W Xu, X Li, Y Ji, S Li, C Cui - Scientific Reports, 2024 - nature.com
Abstract The YOLO (You Only Look Once) series has recently demonstrated remarkable
effectiveness in the domain of object detection. However, deploying these networks for …
effectiveness in the domain of object detection. However, deploying these networks for …
Towards equitable infrastructure asset management: Scour maintenance strategy for aging bridge systems in flood-prone zones using deep reinforcement learning
Bridges play a critical role in transportation networks; however, they are vulnerable to
deterioration, aging, and degradation, especially in the face of climate change and extreme …
deterioration, aging, and degradation, especially in the face of climate change and extreme …
Network-level bridge deterioration prediction models that consider the effect of maintenance and rehabilitation
With the increasing number of aging bridges that need maintenance and rehabilitation
(M&R), it is important to plan and prioritize M&R projects proactively. This process requires …
(M&R), it is important to plan and prioritize M&R projects proactively. This process requires …
[HTML][HTML] Application research of bridge damage detection based on the improved lightweight convolutional neural network model
F Du, S Jiao, K Chu - Applied Sciences, 2022 - mdpi.com
To ensure the safety and rational use of bridge traffic lines, the existing bridge structural
damage detection models are not perfect for feature extraction and have difficulty meeting …
damage detection models are not perfect for feature extraction and have difficulty meeting …