Multiclass dynamic system optimum solution for mixed traffic of human-driven and automated vehicles considering physical queues

Abstract Dynamic traffic assignment (DTA) is an important method in the long term transportation planning and management processes. However, most existing system optimum dynamic (SO-DTA), no side constraints are used to describe link capacities a network which shared by multiple vehicle types. Our motivation based on possibility for (DSO) have solutions, differ where queues formed dissipated network. To this end, paper proposes novel DSO formulation multi-class DTA problem containing both human driven automated vehicles single origin-destination networks. The proposed uses concept of approach develop model that equally distributes total physical over links while considering explicitly variations capacity backward wave speeds due class proportions. In model, formulated as optimization linear composition representing dynamics capacities. Numerical examples set up provide some insights into effects queue distribution well travel times.