Recent smart urban mobility innovations such as intelligent transportation systems, electric
vehicles, autonomous vehicles, demand-responsive transportation, shared transportation …

In recent years, new studies based on artificial intelligence (AI) have been conducted in the
forensic field, posing new challenges and demonstrating the advantages and disadvantages …

Despite the exponential growth in the popularity of artificial intelligence (AI), our knowledge
on the public perception of AI, especially in the context of local government services, is still …

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 …

Predicting traffic accident severity is essential for traffic accident prevention and vulnerable
road user safety. Furthermore, the explainability of the prediction is crucial for practitioners to …

Abstract Machine learning algorithms are capable of handling complex non-linear problems
related to the prediction domain, but further exploration is required for automated, semi …

Accurately modelling crashes, and predicting crash occurrence and associated severities
are a prerequisite for devising countermeasures and developing effective road safety …

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

Millions of car crashes occur annually in the US, leaving tens of thousands of deaths and
many more severe injuries. Thus, understanding the most impactful contributors to severe …

The development of intelligence and informatization is the inevitable trend of safety
production in coal enterprises. Data mining technology plays an important role in promoting …