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6 report(s) found with machine learning in the keywords field
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Roadside safety is a critical aspect of transportation management, with elements like rigid obstacles, guardrails, clear zones, and side slopes significantly impacting accident outcomes. The Federal Highway Administration (FHWA) provides a valuable rating system for departments of transportation (DOTs)...

 

The emerging field of advanced air mobility (AAM) presents myriad opportunities for disrupting traditional modes of transport, including passenger travel to cargo logistics. However, its path to full-scale adoption is fraught with regulatory, market, and logistical challenges. This report presents a...

 

The U.S. Department of Transportation (USDOT) needs to respond quickly and adapt to the coronavirus (COVID-19) to ensure continuation of critical infrastructure support and relief for the American people. Since early March 2020, the COVID-19 pandemic has had significant impact on traffic across the United...

 

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...

 
Big Transportation Data Analytics (Mar 2021, MPC-21-428)

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...

 
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