The rapid process of urbanization and industrial development has raised significant
concerns regarding the presence and management of hazardous substances. However …

Sažetak Traffic accidents are one of the main causes of fatalities and serious injuries among
both adults and children worldwide. Due to the ongoing significant socio-economic losses …

Predicting traffic risk incidents in first-person helps to ensure a safety reaction can occur
before the incident happens for a wide range of driving scenarios and conditions. One …

A complex AI system must be worked offline because the training and execution phases are
processed separately. This process often requires different computer resources due to the …

Traffic accidents pose a severe global public health issue, leading to 1.19 million fatalities
annually, with the greatest impact on individuals aged 5 to 29 years old. This paper …

In order to improve the prediction accuracy, this paper proposes a traffic accident risk
prediction method of tunnel based on multi-source heterogeneous data fusion. Firstly, the …

Globally, traffic accidents are of main concern because of more death rates and economic
losses every year. Thus, road accident severity is the most important issue of concern …

The development of 5G has enabled the autonomous vehicles (AVs) to have full control over
all functions. The AV acts autonomously and collects travel data based on various smart …

The objective of this study is to investigate the applicability of one-class classification (OCC)
models in traffic accident prediction. So far, the accident prediction problem has been …

In contemporary society, the rapid progression of urbanization and technological
advancements has led to a substantial increase in the number of vehicles, consequently …