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

Vulnerable road users (VRUs) involved crashes are a major road safety concern due to the
high likelihood of fatal and severe injury. The use of data-driven methods and heterogeneity …

In measuring road safety, accident severity is a key concern. Crash severity prediction
models inform researchers about the severity of a crash based on a variety of criteria. To …

Traffic accidents have a substantial impact on human life and property, resulting in millions
of injuries every year. To ensure road safety and enhance the research in this direction, it is …

Kingdom of Among the G20 countries, Saudi Arabia (KSA) is facing alarming traffic safety
issues compared to other G-20 countries. Mitigating the burden of traffic accidents has been …

With more cars on the road and an increasing travel rate, one of the main issues in
transportation engineering is how to make roads safe. The evaluation of the level of road …

Research in crash severity prediction is necessary to allow safety planners to take
precautionary measures and enable first aiders to remain prepared for assisting the injured …

Intelligent traffic systems represent one of the crucial domains in today's world, aiming to
enhance traffic management efficiency and road safety. However, current intelligent traffic …

In 2015, over 17% of pedestrians were killed during vehicle crashes in Hong Kong while it
raised to 18% from 2017 to 2019 and expected to be 25% in the upcoming decade. In Hong …

Urban highway tunnels are frequent accident locations, and predicting and analyzing road
conditions after accidents to avoid traffic congestion is a key measure for tunnel traffic …