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20 report(s) found with maintenance management in the keywords field
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This report investigates the application of low-cost sensing technologies, including GPS, accelerometers, and smartphones, to monitor roadway pavement conditions in real time. By leveraging widely available sensors embedded in vehicles, this research demonstrates how machine learning models can detect...

The maintenance and upgrade of infrastructure and buildings are critical for ensuring their performance, safety, and minimizing costs. However, inadequate planning and budget allocation, as well as resource constraints, often result in delayed maintenance, leading to costly interventions. To address...

Transportation asset management requires timely information collection to inform relevant maintenance practices. Traditional data collection methods often necessitate manual operation or the use of specialized equipment, e.g., light detection and ranging (LiDAR), which can be labor-intensive and costly...

Regular inspection and maintenance of culverts are critical to ensure the safe functioning of transportation infrastructure systems, preventing injuries, loss of life, and significant financial damage. Various state departments of transportation (DOTs) and the American Association of State Highway and...

Gravel road safety is a crucial area of road safety since gravel roads represent a substantial proportion of the entire nation's roadway network. Also, gravel roads pose inherent hazards that are otherwise absent in paved roads. Nonetheless, research related to assessing road conditions for county gravel...

Achieving and maintaining public transportation rolling stocks in a state of good repair is very crucial to providing safe and reliable services to riders. Transit agencies that seek federal grants must also keep their transit assets in a state of good repair. Therefore, transit agencies in small urban...

Bridge inspection data is an essential step in the bridge asset management operation and the bridge management system. As such, a reliability-based, holistic framework was proposed to effectively collect reliable data and perform data fusion and information fusion of sensory data used for element-level...

A high-dimensional clustering-based sampling method for roadway asset condition inspection is proposed in this study. The method complements existing literature by selecting sample roadway segments that contain multiple types of assets (e.g., signage, shoulder work, pavement marking, etc.) for the accurate...

The current legally required two-year inspection interval for most bridges is not an efficient system for conducting inspections, because many bridges do not require inspections this frequently, while others would benefit from more frequent monitoring. The research presented herein is based on the premise...

Maintenance management has relied heavily on collecting asset condition information to plan maintenance activities and budget allocation. Data collection is often conducted on a sampling basis because of resource constraints. There is thus a perceived need for the development of an effective sampling...

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