Combining Coordination Strategies for Autonomous Vehicles in Intersections Networks

Marco Gambelli, Stefano Mariani, Giacomo Cabri, Franco Zambonelli

Abstract: Different strategies have been proposed to date to coordinate autonomous, connected vehicles in crossing an isolated intersection, and their performances analysed. However, few works assess what happens in a network of intersections each managed with a different strategy, a situation likely to occur during the transitory phase when not all intersections in a network can (or are worth to) be equipped with a dedicated computational infrastructure to apply a specific strategy. Accordingly, we analyse the impact of combining different strategies in an intersections network. The key result we achieve is that, even in the presence of a few intersections managed by strategies different from currently mainstream ones (such as traffic lights or precedence), significant improvements to global traffic are measured.