With the promotion of ChatGPT to the public, Large language models indeed showcase
remarkable common sense, reasoning, and planning skills, frequently providing insightful …

During the transition period when connected and automated vehicles (CAVs) and human-
driven vehicles (HDVs) coexist on the roadway, miscommunication and improper …

Autonomous or automated vehicles (AVs) have the potential to improve traffic safety by
eliminating majority of human errors. As the interest in AV deployment increases, there is an …

Traffic safety is an important part of the roadway in sustainable development. Freeway traffic
crashes typically cause serious casualties and property losses, being a serious threat to …

Hot work accidents have significant consequences. Admittedly, preventing hot work
accidents requires managers to analyze the accident profoundly and learn from the requisite …

Data-driven frameworks for analyzing aviation safety data have recently gained traction. Text-
based machine learning techniques often rely purely on word frequency analysis to …

Traffic crashes are a critical safety concern. Many studies have attempted to improve traffic
safety by performing a wide range of studies on safety topics with the application of diverse …

Transportation infrastructure is vital to the well-functioning of economic activities in a region.
Due to the digitalization of data storage, ease of access to large databases, and …

Natural language processing (NLP) is a key component of intelligent transportation systems
(ITS), but it faces many challenges in the transportation domain, such as domain-specific …

Despite the significance and growth of wind energy as a major source of renewable energy,
research on the risks of wind turbines in the form of accidents and failures has attracted …