The significant advancements in intelligent transportation systems (ITS) have contributed to
the increased development in traffic modeling. These advancements include prediction and …

As a large proportion of road accidents occur at intersections, monitoring traffic safety of
intersections is important. Existing approaches are designed to investigate accidents in lane …

We evaluated surface and 500-hPa synoptic weather patterns, and fire weather indices from
the Canadian Forest Fire Danger Rating System for 80 large wildfires during 1990–2019 in …

Peaks-over-threshold analysis using the generalised Pareto distribution is widely applied in
modelling tails of univariate random variables, but much information may be lost when …

Traffic accidents involve great costs both at an economic and a human level. This demands
that governments implement strategies to reduce their number and impact. The knowledge …

Remarkable episodes of avalanche events, so-called snow avalanche cycles, are recurring
threats to people and infrastructures in mountainous areas. This study focuses on the hazard …

This paper details the approach of the team Kohrrelation in the 2021 Extreme Value
Analysis data challenge, dealing with the prediction of wildfire counts and sizes over the …

At present, the total length of accident blackspot accounts for 0.25% of the total length of the
road network, while the total number of accidents that occurred at accident black spots …

The data-based regression models are widely popular in modelling the relationship
between the crash frequencies and contributing factors. However, one common problem …

Objetivo Estimar las áreas de mayor densidad de accidentes de tráfico en carretera con
víctimas mortales a 24 horas por km 2/año en la España peninsular, en el periodo de 2008 …