Neural Approximate Dynamic Programming for On-Demand Ride-Pooling

20 Nov 2019Sanket ShahMeghna LowalekarPradeep Varakantham

On-demand ride-pooling (e.g., UberPool) has recently become popular because of its ability to lower costs for passengers while simultaneously increasing revenue for drivers and aggregation companies. Unlike in Taxi on Demand (ToD) services -- where a vehicle is only assigned one passenger at a time -- in on-demand ride-pooling, each (possibly partially filled) vehicle can be assigned a group of passenger requests with multiple different origin and destination pairs... (read more)

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