Date Added: Oct 2010
To ensure better regulation, the emergence of Support Systems Operations (SSO) had helped the regulators. SSO allow real-time monitoring of operating an urban transport network. The authors consider the problem of matching supply with actual operating conditions. To do this, they propose a system for decision support that provides traffic monitoring, incident detection, diagnosis and control. This system uses two concepts of artificial intelligence: the multi-agent systems and the anytime approach. They present a model of multi-agent decision support in real time. They rely on a new approach based on progressive reasoning, to take into account real-time in a MAS: the proposed model is called SMAST (Multi-Agent System for Modeling Transport Systems).