Abstract: 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 transportation service. A start time of the event is determined. A data source associated with the event is monitored to detect whether the start time of the event has changed. A pickup time to pick up the subscriber for the event is determined wherein the pickup time is based at least in part on the start time of the event and the pickup location.

Abstract: 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 transportation service. A start time of the event is determined. A data source associated with the event is monitored to detect whether the start time of the event has changed. A pickup time to pick up the subscriber for the event is determined wherein the pickup time is based at least in part on the start time of the event and the pickup location.

Abstract: A method includes receiving, from a user computing device, a transportation request including a proposed arrival time for a package to arrive at a destination and determining a pickup time to pick up the package based on the proposed arrival time and based on one or more factors affecting ability for the package to arrive at the destination at the proposed arrival time. The method further includes receiving, before the package is picked up, changes to the one or more factors and determining a new pickup time based on the proposed arrival time and the changes to the one or more factors. The method further includes transmitting, to a driver computing device associated with a driver based on the new pickup time, navigational data to direct the driver to pick up the package and providing, to the user computing device, status of a driver location of the driver computing device.

Abstract: In one embodiment a request from a computing device of a passenger for a driver for a specified duration of time is received at a server comprising at least one processor. The request may include a start time and a pickup location. A first driver may be selected from a plurality of drivers to pick up the passenger. The selection of the first driver may be based on the start time and the pickup location specified in the request. Navigational data may be transmitted to the first driver to enable the first driver to pick up the passenger.

Abstract: 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 transportation service. A start time of the event is determined. A data source associated with the event is monitored to detect whether the start time of the event has changed. A pickup time to pick up the subscriber for the event is determined wherein the pickup time is based at least in part on the start time of the event and the pickup location.

Abstract: In one embodiment a request from a computing device of a passenger for a driver for a specified duration of time is received at a server comprising at least one processor. The request may include a start time and a pickup location. A first driver may be selected from a plurality of drivers to pick up the passenger. The selection of the first driver may be based on the start time and the pickup location specified in the request. Navigational data may be transmitted to the first driver to enable the first driver to pick up the passenger.

Abstract: In one embodiment, a method includes: receiving, by a processing device over a network from a driver computing device, a driver destination location and a scheduled arrival time; and determining, based on historical data, a plurality of likelihoods corresponding to a plurality of passenger pick-up regions. Each of the plurality of likelihoods is a corresponding likelihood of the driver computing device arriving at the driver destination location by the scheduled arrival time after completing transportation of a passenger from a corresponding passenger pick-up region. The method further includes: selecting, based on the plurality of likelihoods, a first passenger pick-up region; and providing, by the processing device over the network to the driver computing device, navigational data to direct a driver corresponding to the driver computing device to the first passenger pick-up region.

Abstract: 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 transportation service. A start time of the event is determined. A data source associated with the event is monitored to detect whether the start time of the event has changed. A pickup time to pick up the subscriber for the event is determined wherein the pickup time is based at least in part on the start time of the event and the pickup location.

Abstract: In one embodiment, a method includes: receiving, by a processing device over a network from a driver computing device, a driver destination location and a scheduled arrival time; and determining, based on historical data, a plurality of likelihoods corresponding to a plurality of passenger pick-up regions. Each of the plurality of likelihoods is a corresponding likelihood of the driver computing device arriving at the driver destination location by the scheduled arrival time after completing transportation of a passenger from a corresponding passenger pick-up region. The method further includes: selecting, based on the plurality of likelihoods, a first passenger pick-up region; and providing, by the processing device over the network to the driver computing device, navigational data to direct a driver corresponding to the driver computing device to the first passenger pick-up region.

Abstract: Implementations of the disclosure are directed to navigating drivers to selected locations to reduce passenger wait time. An example method includes determining, by a processing device, to direct a plurality of drivers to a geographical region. The method further includes identifying, by the processing device based on a corresponding current location for each driver of the plurality of drivers, a corresponding assigned location within the geographical region for each driver of the plurality of drivers. The method further includes transmitting, by the processing device to a plurality of driver computing devices associated with the plurality of drivers, navigational data to direct each driver of the plurality of drivers from the corresponding current location to the corresponding assigned location in the geographical region.

Abstract: In one embodiment, passenger demand for transportation by a driver associated with a transportation service is estimated for a first plurality of locations within a geographical region. A wait time parameter is determined for the geographical region, wherein the wait time parameter is based on one or more expected wait times associated with one or more locations of the geographical region, wherein an expected wait time is an estimate of the time that would elapse from a submission of a transportation request from the associated location until a driver of the transportation service will arrive at the associated location. A plurality of drivers are directed to a second plurality of locations within the geographical region based on the estimated passenger demand and the wait time parameter.

Abstract: A method includes receiving, from a user computing device, a transportation request including a proposed arrival time for a package to arrive at a destination and determining a pickup time to pick up the package based on the proposed arrival time and based on one or more factors affecting ability for the package to arrive at the destination at the proposed arrival time. The method further includes receiving, before the package is picked up, changes to the one or more factors and determining a new pickup time based on the proposed arrival time and the changes to the one or more factors. The method further includes transmitting, to a driver computing device associated with a driver based on the new pickup time, navigational data to direct the driver to pick up the package and providing, to the user computing device, status of a driver location of the driver computing device.

Abstract: Particular embodiments described herein provide for a communication system that can be configured to receive a desired arrival time for a package to arrive at a destination, determine a location of the package, determine a route to the destination, and determine a pickup time to pick up the package. The pickup time can be at least partially based on the desired arrival time and a time to travel along the route. In an example, the package is a passenger and the communication system can involve a transportation or delivery service.

Abstract: In one embodiment, a method includes: receiving, by a processing device over a network from a driver computing device, a driver destination location and a scheduled arrival time; and determining, based on historical data, a plurality of likelihoods corresponding to a plurality of passenger pick-up regions. Each of the plurality of likelihoods is a corresponding likelihood of the driver computing device arriving at the driver destination location by the scheduled arrival time after completing transportation of a passenger from a corresponding passenger pick-up region. The method further includes: selecting, based on the plurality of likelihoods, a first passenger pick-up region; and providing, by the processing device over the network to the driver computing device, navigational data to direct a driver corresponding to the driver computing device to the first passenger pick-up region.

Abstract: In one embodiment a pickup location, a destination location, and a first arrival time associated with a transportation request received from a computing device of a passenger are determined. A first pickup time based on the arrival time and an estimated amount of time to travel between the pickup location and the destination location starting at the first pickup time is determined. A first surge pricing parameter associated with travel to the destination location starting at the first pickup time is estimated. A second pickup time associated with a second estimated surge pricing parameter and a second arrival time is determined, the second estimated surge pricing parameter lower than the first estimated surge pricing parameter. The second pickup time, the second arrival time, and the second estimated surge pricing parameter are communicated to the computing device for presentation to the passenger.

Abstract: In one embodiment an indication of a driver destination location is received from a driver associated with a taxi service. The driver destination location specifies a location that the driver desires to travel to after transporting one or more passengers. A passenger pick-up location of a first passenger is provided. The first passenger is selected based on the driver destination location and a destination location specified by the first passenger.

Abstract: In one embodiment, passenger demand for transportation by a driver associated with a transportation service is estimated for a first plurality of locations within a geographical region. A wait time parameter is determined for the geographical region, wherein the wait time parameter is based on one or more expected wait times associated with one or more locations of the geographical region, wherein an expected wait time is an estimate of the time that would elapse from a submission of a transportation request from the associated location until a driver of the transportation service will arrive at the associated location. A plurality of drivers are directed to a second plurality of locations within the geographical region based on the estimated passenger demand and the wait time parameter.

Abstract: 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 transportation service. A start time of the event is determined. A data source associated with the event is monitored to detect whether the start time of the event has changed. A pickup time to pick up the subscriber for the event is determined wherein the pickup time is based at least in part on the start time of the event and the pickup location.

Abstract: In one embodiment a request from a computing device of a passenger for a driver for a specified duration of time is received at a server comprising at least one processor. The request may include a start time and a pickup location. A first driver may be selected from a plurality of drivers to pick up the passenger. The selection of the first driver may be based on the start time and the pickup location specified in the request. Navigational data may be transmitted to the first driver to enable the first driver to pick up the passenger.

Abstract: Particular embodiments described herein provide for a communication system that can be configured to receive a desired arrival time for a package to arrive at a destination, determine a location of the package, determine a route to the destination, and determine a pickup time to pick up the package. The pickup time can be at least partially based on the desired arrival time and a time to travel along the route. In an example, the package is a passenger and the communication system can involve a transportation or delivery service.