T. In this paper, we address the problem of traffic management in a road network for driverless vehicles, based on local decisions in each intersection. Intersections perceive and control approaching vehicles, through infrastructure-to-vehicle communications, in order to ensure a coordinated and stop-free crossing. Our approach is original in two ways: on the one hand, it explores a principle alternating flows at intersections, and, on the other hand, it proposes distributed algorithms that optimize the global traffic in the network. We present the modeling choices, the algorithms, and the simulation study of our approach, and we compare its performances with existing approaches.
multi-agent systems, autonomous vehicles, traffic simulations
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