Routing for Traffic Networks With Mixed Autonomy

In this article, we propose a macroscopic model for studying routing on networks shared between human-driven and autonomous vehicles that captures the effects of forming platoons. We use to study inefficiency due selfish bound price anarchy (PoA), maximum ratio total delay experienced by users minimum possible delay. To do so, establish two road capacity models, each corresponding an assumption regarding platooning capabilities vehicles. Using these, develop class functions, parameterized capacity, are polynomial with respect vehicle flow. then PoA bicriteria, another measure routing, general multiple source-destination pairs. find these bounds depend on: degree in function; asymmetry, difference how traffic affect demonstrate recover classical when no asymmetry exists. show tight certain cases is order optimal asymmetry.