Since connected and autonomous buses (CABs) have great potential of being operated in
partially connected environment and raise great impact on mixed traffic flow, this study …

The efficiency of road freight transport determines—to a significant degree—the total
environmental footprint and the amount of greenhouse gases and other pollutants released …

Statistical data indicate that trucks are more prone to rear-end crashes, making this an area
of concern. The objective of this study is to create a model that analyzes the factors …

This study aims to use machine learning methods to examine the causative factors of
significant crashes, focusing on accident type and driver's age. In this study, a wide-ranging …

Abstract Machine learning (ML) models are widely employed for crash severity modelling,
yet their interpretability remains underexplored. Interpretation is crucial for comprehending …

The recognition that one publication receives from another is a citation. The nature of these
references (citations), their variability and the drivers of the citations concerning the subject …

Conclusions The Special Issue of Safety Science on “RSS2022 Conference: Advanced
Road Safety Analyses” represents an essential contribution to the evolution of road safety …

This study presents a detailed analysis of the stability of weigh-in-motion sensors used at
vehicle weighing stations. The objective of this research was a long-term assessment of …

City-wide near-miss data can be beneficial for traffic safety estimation. In this study, we
evaluate urban traffic safety and examine spatial patterns by incorporating city-wide near …

Reliable and interpretable traffic crash modeling is essential for understanding causality and
improving road safety. This study introduces a novel approach to predicting collision types …