Multi-level decision system for the crossroad scenario

Among the innovations aimed at tackling the transportation issues in urban areas, one of the most promising solutions is the possibility of making virtual trains of vehicles so as to provide a new kind of transportation system. Even if this kind of solution is now widespread in literature, some difficulties still need to be resolved. For instance, one must find solutions to make the crossing of the train possible while maintaining train composition (trains must not be split) and safety conditions. This paper proposes a multi-level decision process aimed at dealing with this issue. This proposal is based on dynamic adaptation of train parameters which lead to trains crossing without stopping any of them. Results, obtained in simulations, make the comparison with a classical crossing strategy.