The disruptive potentials of the Internet of Things (IoT) entails multifaceted requirements and
development issues (large scale deployments, heterogeneity, cyberphysicality …

The agent computing paradigm is rapidly emerging as one of the powerful technologies for
the development of large-scale distributed systems to deal with the uncertainty in a dynamic …

Agent technology is rapidly emerging as a powerful computing paradigm to cope with the
complexity in dynamic distributed systems, such as traffic control and management systems …

Agent-based modeling and simulation (ABMS) methods have been applied in a spectrum of
research domains. This primer focuses on ABMS in the transportation interdisciplinary …

Synchromodality/Synchromodal transport is to support real-time optimal integration of
different transport modes and infrastructure in order to induce a modal shift from road to …

Multi-agent systems are rapidly growing as powerful tools for Intelligent Transportation
Systems (ITS). It is desirable that traffic signals control, as a part of ITS, is performed in a …

This paper models the traffic light control domain using a fuzzy ontology and applies it to
control isolated intersections. Proposing an independent module for reusing traffic light …

Résumé The traffic engineering community currently faces the advent of a new generation of
Intelligent Transportation Systems (ITS), known as cooperative systems. More specifically …

The interference between software components is increasing in safety-critical domains, such
as autonomous driving. Low-criticality (LC) tasks, such as vehicle communication, may …

This paper describes an integrated approach for modeling transport infrastructure and
optimising transport in urban areas. It combines the benefits of a multi-agent system, real …