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Competition in Electric Autonomous Mobility on Demand Systems

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Document pages: 19 pages

Abstract: This paper investigates the impacts of competition in autonomousmobility-on-demand systems. By adopting a network-flow based formulation, wefirst determine the optimal strategies of profit-maximizing platform operatorsin monopoly and duopoly markets, including the optimal prices of rides.Furthermore, we characterize the platform operator s profits and the consumersurplus. We show that for the duopoly, the equilibrium prices for rides have tobe symmetric between the firms. Then, in order to study the benefits ofintroducing competition in the market, we derive universal theoretical boundson the ratio of prices for rides, aggregate demand served, profits of thefirms, and consumer surplus between the monopolistic and the duopolisticsetting. We discuss how consumers firm loyalty affects each of theaforementioned metrics. Finally, using the Manhattan network and demand data,we quantify the efficacy of static pricing and routing policies and compare itto real-time model predictive policies.

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