Variable speed limits (VSL) have been widely implemented to alleviate highway congestion and enhance operational efficiency. However, most existing studies focus on fixed traffic scenarios, making … [Read more...] about Meta-Reinforcement Learning With Hypernetworks for Variable Speed Limit Control Under Adverse Weather and Work Zones
Machine Learning
Leveraging Large Language Models and Deep Learning for Construction Work Zone Intrusion Risk Assessment
Construction work zones are essential for roadway maintenance. In most cases, the traffic flow should not be interrupted, which requires work zones to be set up alongside the ongoing traffic, … [Read more...] about Leveraging Large Language Models and Deep Learning for Construction Work Zone Intrusion Risk Assessment
Behavioral Modelling of Roadway Construction Workers: Improving Deep Learning-Based Trajectory Prediction With Contextual Information in Traffic Work Zones
Construction workers face rising risks of fatal injuries from vehicle crashes in roadway work zones. While transportation safety research has focused on motorists’ behavior, the behavior of roadway … [Read more...] about Behavioral Modelling of Roadway Construction Workers: Improving Deep Learning-Based Trajectory Prediction With Contextual Information in Traffic Work Zones
Safety Analysis of Construction Work Zone Activities Using Convolutional Neural Network and BiLSTM
This study thoroughly explores the safety implications of construction activities on road safety, utilizing a robust data set of 1,500 daily progress reports from 2018 to 2020. We systematically … [Read more...] about Safety Analysis of Construction Work Zone Activities Using Convolutional Neural Network and BiLSTM
Integrated Framework for Reliable Work Zone Crash Classification: Combining Data Validation, Machine Learning Ensembles, and Natural Language Methods
This paper presents a comprehensive, publication-ready investigation into the problem of reliable work zone crash classification and risk prediction using an integrated pipeline that emphasizes … [Read more...] about Integrated Framework for Reliable Work Zone Crash Classification: Combining Data Validation, Machine Learning Ensembles, and Natural Language Methods
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