This work analyzes the implementation of an artificial mechanism inspired by a biological
somatic marker that ables a passenger agent to both, react to changes in the service, as well …

The collision avoidance system in an autonomous vehicle, intended to address traffic safety
issues, has a crucial function called collision estimation. It accomplishes this by identifying …

Driver reaction is of vital importance in risk scenarios. Drivers can take correct evasive
maneuver at proper cushion time to avoid the potential traffic crashes, but this reaction …

Precrash scenario analysis for autonomous vehicles (AVs) is critical for improving the safety
of autonomous driving, yet the scenario differences between different driving modes are …

In the next few years, the new generation of Autonomous Vehicles (AVs) promises an
advanced level of self-driving experiences. One of the most challenging topics in AVs …

An efficient motion planning and control model for dynamic traffic environments is proposed
to realise automated lane change of autonomous vehicles and meet the safety, comfort and …

Automatic analysis of driver behaviour is one of the most difficult subjects in the field of
intelligent transportation systems. This study focuses on disturbed driver stance identification …

The driving behavior classification of road agents is important for driver assistance systems
and self-driving cars. The driving safety can be improved by identifying the normal or …

The autonomous vehicles (AVs) are an intelligent mode of transport which can perceive their
surroundings and perform autonomous actions without human control. The advanced driver …

Kaza anında araçların hızları ve kütleleri sebebiyle yüksek miktarda enerji açığa çıkmakta ve
bu enerjinin uygun şekilde sönümlenmesi gerekmektedir. Düzgün sönümlenemeyen enerji …