Competition in Electric Autonomous Mobility on Demand Systems

This paper investigates the impacts of competition in autonomous mobility-on-demand systems. By adopting a network-flow based formulation, we first determine optimal strategies profit-maximizing platform operators monopoly and duopoly markets, including prices rides. Furthermore, characterize operator's profits consumer surplus. We show that for duopoly, equilibrium rides have to be symmetric between firms. Then, order study benefits introducing market, derive universal theoretical bounds on ratio rides, aggregate demand served, firms, surplus monopolistic duopolistic setting. discuss how consumers' firm loyalty affects each aforementioned metrics. Finally, using Manhattan network data, quantify efficacy static pricing routing policies compare it real-time model predictive policies.