LAUSR

The autonomous mobility-on-demand (AMoD) system is regarded as a promising shared mobility method for the sustainable transportation system. In addition, battery swapping could become an efficient energy-refueling means for electric vehicles (EVs). The quality-of-service aware battery swapping price determined by the battery swapping stations (BSSs) considers the interaction between AMoD fleet and BSSs, which is formulated as a bilevel optimization problem in this article. The interdependence between two systems is bridged by the swapping price that is both time-varying and location-varying. In the upper level, the swapping pricing is optimized to reflect the battery inventory so that the EV fleet could be navigated for the BSS strategically, the queue time would be reduced consequently. BSS operator optimizes swapping pricing scheme and battery charging management with the objective of minimizing the cost induced by the queue process and battery charging. In the lower level, a unified network flow model incorporating queue procedure in BSSs is proposed in order to characterize the operational decision of AMoD fleet. The AMoD operator develops fleet scheduling strategies with the objective of maximizing the AMoD system profit. An iteration-based algorithm is applied to attain the results and the effectiveness of the algorithm is validated by the real-world data from New York.