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57 report(s) found with data collection in the keywords field
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Understanding ramp queue length and queuing time is important for transportation agencies to manage and operate the ramps with optimum performance. Since these data are collected with conventional sensor systems such as coils, they are prone to error, especially during traffic congestion. The increased...

 

Understanding the condition of roadway assets is important for transportation agencies to plan for future improvements and asset management purposes quantitatively. Since these assets are distributed across the country, a manual data collection system falls short of the automated methods due to time...

 

Several approaches are presented that allow for a direct path of image-to-analysis for the mechanics of structures using a combination of structure-from-motion (SFM) and the finite element method. Through these methods, conventional computational methods can be applied to models created from digital...

 

Over the last two decades many researchers have focused on providing new ideas and frameworks that can help improve conventional bridge inspection practices; however, little guidance is provided for implementing these new ideas in practice. This, along with resistance to change and complexity of the...

 

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...

 

The Upper Great Plains Transportation Institute (UGPTI) has built a web-based traffic data analysis tool. This Traffic Analysis Tool uses existing traffic signal control devices to collect data 24 hours per day, 7 days per week, and 365 days per year. The primary purpose of this project was to develop...

 

Recent reconstruction of the Grand Forks transportation network included upgrades of some of the older models of cameras. The MPO intended to: 1) continue utilizing the reconstructed intersections for traffic data collection; 2) utilize available API commands to download traffic data; and 3) minimize...

 

Over a century of research suggests that the size and spatial location of various streetscape features impacts outcomes such as walkability, livability, and road safety. Current streetscape feature measuring/mapping techniques are limited to subjective audit-based methods, crude feature counts, or simple...

 

Autonomous vehicles (AVs) that utilize LiDAR (Light Detection and Ranging) and other sensing technologies are becoming more prevalent in the transportation industry. Concurrently, transportation agencies are increasingly challenged with asset management, traffic operations, and safety assessments. The...

 

As part of this study, 15 intersections with approximately 60 cameras were to be configured to collect traffic volumes and speeds. All of these cameras are the newer VISION models. In addition, the objectives of the study include building enhancements to the existing NDSU Traffic Analysis Tool and to...

 
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NDSU Dept 2880P.O. Box 6050Fargo, ND 58108-6050
(701)231-7767ndsu.ugpti@ndsu.edu