Abstract In 2016, more than 35,000 people died in traffic crashes, and human error was the
reason for 94% of these deaths. Researchers and automobile companies are testing …

Driving safety field (DSF) model has been proposed to represent comprehensive driving risk
formed by interactions of driver-vehicle-road in mixed traffic environment. In this work, we …

Vehicle driving safety is influenced by many factors including drivers, vehicles, and roads,
the interactions among which are quite complex. Consequently, existing methods that …

Human error has been statistically proven to be the primary cause of road accidents. This
undoubtedly is a contributory cause of the rising popularity of autonomous vehicles as they …

Road safety is a priority, worldwide. The European Commission aims to reduce fatalities by
2030. The same goal was set for the US. These goals stem from the World Health …

In order to improve the efficiency and safety of autonomous vehicles' decision-making
process in complex urban scenarios, a decision-making method for hierarchical processing …

The change of space environment at the tunnel entrance which the light changes from bright
to dark will lead to frequent traffic accidents. To explore whether the connected vehicle …

The arrival of big data era of internet of vehicles promotes the rapid development of logistics
industry, which also indirectly leads to the high traffic accident rate, resulting in huge …

This study proposes a Big Data technique-based crash scene re-construction method in
order to provide a systematic and effective way of developing critical traffic safety test …

Intelligent Transportation Systems (ITS) are critical infrastructure that are not immune to both
physical and cyber threats. Vehicles are cyber/physical systems which are a core …