In a traffic study done in 2020, it was discovered that there was 28,298 traffic in 16 hours and 2,279 traffic between the hours of 5 and 6 pm. Compared to other locations in the same district, the … [Read more...] about The Current Practice Applications of Artificial Intelligence to Improve Traffic Flow During Roadside Construction at Jalan Batu Pahat- Ayer Hitam- Kluang FT050
Information Infrastructure and Data
Construction Work Zone Safety: Spatio-Temporal Analysis of Construction Work Zone Crashes
This report presents a comprehensive analysis of work zone safety considering multiple factors, including crash severity, speed analysis, countermeasure analysis, and state-of-the-practice in DOTs. It … [Read more...] about Construction Work Zone Safety: Spatio-Temporal Analysis of Construction Work Zone Crashes
Tracking and Analyzing Dangerous Work-Zone Intrusions? Now, There’s an App for That.
Highway workers face frequent dangers from work-zone intrusions, leading to injuries and fatalities. To address this, a University of Minnesota research team developed a smartphone-based app for … [Read more...] about Tracking and Analyzing Dangerous Work-Zone Intrusions? Now, There’s an App for That.
Harnessing Synthetic Image Datasets for Enhanced Scene Understanding in Construction Work Zones
This study pioneers the use of synthetic image datasets, generated via the Unity game engine, to train deep learning models for construction work zone scene understanding. This innovative approach … [Read more...] about Harnessing Synthetic Image Datasets for Enhanced Scene Understanding in Construction Work Zones
A Comparative Analysis of Probe Data Sources for Provision of Work Zone Congestion Information to the Public
With the rise in highway maintenance demands, work zones have proliferated across the United States, posing traffic and safety challenges. Dissemination of work zone information to the public is … [Read more...] about A Comparative Analysis of Probe Data Sources for Provision of Work Zone Congestion Information to the Public
An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction
Work zone is one of the major causes of non-recurrent traffic congestion and road incidents. Despite the significance of its impact, studies on predicting the traffic impact of work zones remain … [Read more...] about An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction