Although intelligent vehicles have filled our daily lives, drivers are still required to take over
when automation disengages. To provide effective decision supports in such emerging …

In this study, we develop and test a model that explains individuals' behavioral changes in
driving safety after viewing the visualizations, which depict their driving performance against …

The connected and automated vehicle (CAV) technology in recent years has demonstrated
its potential in improving efficiency in transportation systems. Prediction, as a key component …

For autonomous driving, it is important to develop safe and efficient decision algorithms to
handle multi-vehicle interactions. Game theory is suitable to manage the interactive driving …

As self-driving cars perform more tasks, new challenges arise. One of these challenging
tasks is autonomous driving decision-making due to the uncertainty of the vehicle's complex …

With the improvement of automated vehicle technology, it is expected that automated
vehicles and Human-driven vehicles will share road traffic for a long time in the future. For …

With the rapid advancement of technology and people's tendency toward a driving-free
lifestyle, autonomous vehicles (AVs) are expected to dominate the roads in the future …

Urban environments present intricate challenges for autonomous vehicles (AVs) due to their
dynamic nature. Ensuring safe and efficient navigation necessitates a fusion of various …

Os desafios enfrentados pelos veículos autônomos nos quesitos localização, navegação,
detecção de obstáculos e segurança ainda necessitam de soluções, permitindo um vasto …

The aspirations to reduce environmental impact, the ongoing labor shortages, and the
expanding possibilities of digital technologies urge logistics companies to reinvent their …