The development of automated and coordinated driving systems (platooning) is an hot topic
today for vehicles and it represents a challenging scenario that heavily relies on distributed …

The general expectation is that the traffic in the cities will be almost optimal when the
collective behaviour of autonomous vehicles will determine the traffic. Each member of the …

Urban traffic routing has to deal with individual mobility and collective wellness considering
citizens, multi-modal transport, and fleet traffic with conflicting interests such as electric …

One of the key applications of physically-deployed multi-agent systems, such as mobile
robots, drones, or personal agents in human mobility scenarios, is to promote a pervasive …

Abstract TWM-Traffic Weighted Multi-maps-is presented as a novel traffic route guidance
model to reduce urban traffic congestion, focusing on individual trip and collective objectives …

Intention-aware prediction is regarded as an important agreement technology to help large
amount of agents in aligning their activities towards an equilibrium. If the agents do not align …

Urban traffic routing is deemed to be a significant challenge in intelligent transportation
systems. Existing implementations suffer from several intrinsic issues such as scalability in …

The number of vehicles on the road keeps rising every day. This increasing demand for
mobility puts more and more stress on the supply side of traffic: the road infrastructure. When …

In order to ensure global behaviour of decentralized multi-agent systems, we have to have a
clear understanding of the issue of equilibrium over time. Convergence to the static …

We expect that the traffic will be almost optimal when the collective behaviour of
autonomous vehicles will determine the traffic. The route selection plays an important role in …