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16 report(s) found for Pan Lu
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In an ever-evolving world characterized by environmental challenges and technological advancements, the confluence of natural disasters, particularly increasing wildfire threats, and the role of connected and autonomous vehicles (CAVs) stands as a critical focal point for research and innovation. This...

 

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...

 

As a result of the considerable differences in mass between vehicles and trains, crashes at highway-rail grade crossings (HRGCs) often result in severe injuries and fatalities. Therefore, HRGC safety is considered a crucial transportation safety issue. Transportation decision makers and agencies need...

 

Railroad accidents can cause economic harm that extends far beyond their own financial losses. As one of the most efficient modes of long-distance freight transportation, losses in line capacity and cargo due to accidents can disrupt the supply chain and lead to commodity shortages everywhere. Therefore...

 

This research seeks to develop an infrastructure safety support system by embedding V2I enabled sensor networks into the transportation infrastructure to provide autonomous vehicles and human drivers with inputs to improve their decision making when obvious decisions may not possible. A new car-following...

 

Tracks are a critical and expensive railroad asset, requiring frequent maintenance. Railroads companies often rely on the accurate localization and identification of the track anomalies that could cause serious damage to infrastructure, environment, and the traveling public. However, the deployed method...

 

This report is the response to the North Dakota Legislature's request for a study of the transportation infrastructure needs of all county and township roads in the state. In this report, infrastructure needs are estimated using the most current production forecasts, traffic estimates, and roadway inventory...

 

Federal track safety regulations require railroads to inspect all tracks in operation as often as twice weekly. Railroad companies deploy expensive and relatively slow methods using human inspectors and expensive automated inspection vehicles to inspect and monitor their rail tracks. The current practices...

 

This research seeks to investigate crash severity predicting models and contributing factor explorations through the application of data mining models. There are 21 variables found to be associated with commercial truck injury severities. The importance analysis indicates the variable relative important...

 

The highway-rail crossing accident has been long recognized as a priority safety concern for worldwide rail industries and researchers because traffic crashes at highway-rail crossings are often catastrophic with serious consequences, which include fatalities, injuries, extensive property damage, and...

 
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