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4 report(s) found with machine learning in the keywords field
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The recent rapid development of commercial unmanned aerial vehicles (UAVs) has made collecting images of bridge conditions trivial. Measuring a defect's extent, growth, and location from the collected large image set, however, can be cumbersome. This paper proposes a streamlined bridge inspection system...
Traffic volume data are crucial in many applications, including transportation operation analysis, congestion management, and accident prevention. Yet an extensive capture of accurate volume information on a large-scale network can be difficult and costly. This research focuses on hourly traffic volume...
Snowplow trucks serve a crucial role in winter maintenance activities by removing, loading, and disposing of snow. An effective performance monitoring and analysis process can assist transportation agencies in effectively managing the snowplow trucks and maintaining normal functioning of roadways. Previous...
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...
