Abstract: Embodiments include methods, systems and computer readable storage medium for resource relocation based on simulation optimization. The method includes monitoring, by a processor, a plurality of zones, wherein each zone comprises one or more mobile resources and one or more resource stations. The method further includes performing, by the processor, a simulation optimization for the plurality of zones. The method further includes transmitting, by the processor, a relocation action to transfer one or more mobile resources between the one or more resource stations based on the simulation optimization.

Abstract: Disclosed are driver-rider matching algorithms, multimodal automated ridesharing systems, and dedicated mobile applications for provisioning rideshare services. A method is disclosed for matching prospective riders with available drivers associated with an automated ridesharing system. The method includes receiving a ride request from a prospective rider, and determining scheduling and preference data for that prospective rider. A set of available drivers currently or prospectively within a predetermined proximity of the prospective rider, if any, is then created. Driver scheduling and preference data is determined for each available driver in the set. The method then determines if the requesting rider matches with any of the available drivers in the set by comparing the rider's scheduling and preference data with the driver's scheduling and preference data.