Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …

Traffic management systems play a vital role in ensuring safe and efficient transportation on
roads. However, the use of advanced technologies in traffic management systems has …

Autonomous vehicles are being developed to make road traffic safer in the future. The time
when autonomous vehicles are actually safe enough to be used in real traffic is a current …

The decision-making (DM) processes used by autonomous vehicle driving systems are
separate from those of the users, allowing them to oversee and regulate the operations of …

The objective of this research is to present the state of the art of the safety assurance of
Artificial Intelligence (AI)-based systems and guidelines on future correlated work. For this …

The driving behavior of autonomous vehicles has a significant impact on safety for all traffic
participants. Unlike current traffic participants, autonomous vehicles in the future will also …

In modern vehicles, system complexity and technical capabilities are constantly growing. As
a result, manufacturers and regulators are both increasingly challenged to ensure the …

Self-driving vehicles (SDVs) are becoming reality but still suffer from “long-tail” challenges
during natural driving: the SDVs will continually encounter rare, safety-critical cases that may …

Lane-change trajectory planning of autonomous light trucks is closely related to safety,
driving stability and transportation efficiency, especially in complex road and traffic …

Off-ramp diverging road segment is the preparation area for vehicles driving away from the
freeway, while it causes more traffic conflicts making it a typical safety bottleneck. Focusing …