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Machine Learning

To Balance or Not to Balance? Applying a Machine Learning Technique to Oversample Severe Injury Crashes in Work Zones

Road work zones (WZs) are increasingly common due to aging infrastructure and the need for capacity enhancement, presenting significant safety risks characterized by narrow lanes, uneven traffic flow, … [Read more...] about To Balance or Not to Balance? Applying a Machine Learning Technique to Oversample Severe Injury Crashes in Work Zones

Enhancing Autonomous Vehicle Decision-Making in Construction Zones Using Construction Signage Recognition and Vehicle Trajectory Tracking Algorithms

Autonomous vehicles have increasingly become a trend in transportation owing to the development of deep learning technologies. However, autonomous vehicle systems are mainly applied in specific … [Read more...] about Enhancing Autonomous Vehicle Decision-Making in Construction Zones Using Construction Signage Recognition and Vehicle Trajectory Tracking Algorithms

Impact of Road Work Zones on Traffic Flow and Safety: A VISSIM-Based Analysis of Driving Behavior and Risk Factors

To achieve Vision Zero and eliminate all fatalities and severe injuries in road traffic, it is necessary to improve road safety for both road users and road workers. Accidents and incidents that occur … [Read more...] about Impact of Road Work Zones on Traffic Flow and Safety: A VISSIM-Based Analysis of Driving Behavior and Risk Factors

Investigating the Contributing Factors to Crashes With and Without the Presence of Work Zone Workers Using Machine Learning Techniques

As the nation’s roadways continue to deteriorate, the presence of work zones on US highways is anticipated to increase, highlighting the crucial need for the safety of both work zone workers and road … [Read more...] about Investigating the Contributing Factors to Crashes With and Without the Presence of Work Zone Workers Using Machine Learning Techniques

A Hybrid Framework for Predicting Crash Severity in Construction Work Zones Using Knowledge Distillation and Conditional GANs

Construction work zone crashes represent a critical area of concern within the realm of traffic safety, posing unique challenges for both road users and transportation authorities. Common factors … [Read more...] about A Hybrid Framework for Predicting Crash Severity in Construction Work Zones Using Knowledge Distillation and Conditional GANs

Forecasting Traffic Flow by Vehicle Category on a Major Highway Impacted by Road Maintenance Works

In this paper the authors look at the forecasting of traffic flow on a major highway in the Netherlands impacted by road maintenance works, examining the effects of lane closures on intensities per … [Read more...] about Forecasting Traffic Flow by Vehicle Category on a Major Highway Impacted by Road Maintenance Works

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