Shared automated mobility-on-demand system with different response, pricing and dispatching strategies

The shared automated mobility-on-demand system can offer convenient 'point-to-point' services for travelers. However, most previous studies have not combined pricing strategies with dispatching strategies to investigate their impact on system operation results. This paper proposes two demand response strategies for the shared automated mobility-on-demand system. From the perspective of time and space, eight ridesharing pricing strategies are proposed. The preliminary vehicle matching and routing are obtained through the integer linear programming considering system profit and service level, and the vehicle status is updated by four dispatching strategies that consider whether the matching scheme and route are updated over time. The results show that the factors taken into account in the ridesharing pricing strategy are restricted by the system to maximize profit, and the most flexible dispatching strategy is not the most profitable. These detailed analyses can provide a basis for formulating an effective operation mode of the automated mobility-on-demand system.