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 Processing
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
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
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
Assessment of Safe Work Indicators in Transportation Construction Using Personal Monitoring Systems
Construction projects require long hours where workers are subjected to intensive tasks such as hard manual labor, heavy lifting, and constrained working postures. Among the physiological metrics, … [Read more...] about Assessment of Safe Work Indicators in Transportation Construction Using Personal Monitoring Systems
Assessment of Barriers and Drivers to the Adoption of Machine Learning Technologies in Road Construction Site Accident Prevention
The construction industry is fraught with danger. The investigation of the causes of occupational accidents receives considerable attention. Despite the introduction of numerous safety preventive … [Read more...] about Assessment of Barriers and Drivers to the Adoption of Machine Learning Technologies in Road Construction Site Accident Prevention