A network system, such as a transportation management system, efficiently allocates
providers among different geographic regions by providing multiple service options to users …

This disclosure describes a transportation matching system that manages the allocation of
transportation providers by training and utilizing multiple machine-learning models to …

This disclosure covers machine-learning methods, non-tran sitory computer readable media,
and systems that generate a multiplier that efficiently and effectively provides on-de mand …

In one embodiment a transportation request specifying a pickup location is received. The
transportation request is associated with an event to be attended by a subscriber to a …

A network computing system can coordinate on-demand transport serviced by transport
providers operating throughout a transport service region. The transport providers can …

An approach is provided for providing an estimated time of arrival (ETA) with a uncertain
starting location. The approach, for example, involves determining an uncertainty time …

The disclosed systems can regulate access to an online mode for a dynamic transportation
matching system. For example, based on a provider efficiency parameter associated with the …

The disclosed systems can regulate access to an online mode for a dynamic transportation
matching system. For example, based on a provider eficiency parameter associated with the …

This disclosure covers machine-learning methods, non-transitory computer readable media,
and systems that generate a multiplier that efficiently and effectively provides on-demand …

A network computing system can coordinate on-demand transport serviced by transport
providers operating throughout a transport service region. The transport providers can …