ACM Journal on Autonomous Transportation Systems

Machine learning-based Intrusion Detection Systems (IDSs) for vehicle networks can collaborate to enhance their performance by sharing crucial decisions when individual datasets lack diversity, which hinders effective model training. However, such ...

In this paper, we focus on multi-agent multi-criteria decision problems in dynamic environments where autonomous vehicles need to cooperate to make decisions. When a group of agents faces these problems, each agent may have a different preference about ...

Continuous cab driving is considered one of the highly stressful jobs, although the drivers ignore that many a time. Taking a break from manual driving or transferring the control to another driver to release the stress would be an easy, intuitive ...