Operational and real-time team decision problems in the risk-averse transportation of dangerous goods by road

Dangerous goods transportation (DGT) is a relevant safety and security issue that has been treated in many papers in the last decades. Considering the significant damages that a DGT accident can cause, a DGT routing strategy is to avoid the worst case accident scenario, following a risk-averse behaviour. Game-theory is very useful in this context. Taking into account a DGT flow on a road network and the technologies for vehicle/infrastructure communication which are nowadays available, the overall context can be modelled as a system of systems, where a team of road segments concurs to find an optimal strategy to minimise the maximum risk on the territory. Two problems related to DGT are presented and preliminary formulations, at operational and at real-time level, are described. A solving method based on linear matrix inequalities is shown and first results are shown.