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 …

Decision Tree is widely applied in many areas, such as classification and recognition.
Traditional information entropy and Pearson's correlation coefficient are often applied as …

Cycling provides numerous benefits to individuals and to society but the burden of road
traffic injuries and fatalities is disproportionately sustained by cyclists. Without awareness of …

Pedestrians are the most vulnerable road users and pedestrian crashes are a major concern
both for their number and their severity. In Italy, pedestrians account for 34% of the road …

Walking plays an important role in overcoming many challenges nowadays, and
governments and local authorities are encouraging healthy and environmentally sustainable …

Powered two-wheelers (PTWs) are growing globally each year as they are considered an
attractive alternative to cars (flexible, small, affordable, fast and easy to park), especially on …

The main objective of this paper was to analyse the roadway, environmental, and driver-
related factors associated with an overrepresentation of frequency and severity of run-off-the …

Accidents involving heavy vehicles are of significant concern as it poses a higher risk of
fatality to both heavy vehicle drivers and other road users. This study is carried out based on …

Pile-up (PU) crashes, which involve multiple collisions between more than two vehicles
within a brief timeframe, carry substantial consequences, including fatalities and significant …

Many small-spacing interchanges (SSI) appear when the density of the expressway
interchanges increases. However, the characteristics of traffic accidents in SSI have not …