System for preemptively navigating drivers to an event location to transport passengers upon completion of the event

1. A method comprising:

identifying, by a processing device of a first server device, an event to be attended by a plurality of users of a taxi service;

determining, by the processing device, a location of the event;

estimating, by the processing device, an end time of the event;

responsive to determining an expected demand for transportation from the location of the event, generating, based on the expected demand, a schedule for directing a plurality of driver computing devices to arrive at the location of the event prior to receipt of passenger requests to be paired with the plurality of driver computing devices;

prior to the end time of the event, transmitting, by the processing device to the plurality of driver computing devices based on the schedule, navigational data to direct the plurality of driver computing devices to navigate to the location of the event to transport passengers;

subsequent to transmitting the navigational data, communicating with an event information source of a second server device during the event to obtain updated information regarding how much time is remaining prior to the end time of the event;

responsive to receiving the updated information during the event from the event information source of the second server device, generating, based on the updated information, an updated schedule; and

directing the plurality of driver computing devices to the location of the event based on the updated schedule.

2. The method of claim 1 , further comprising:

responsive to determining the expected demand, selecting the plurality of driver computing devices based on the expected demand.

3. The method of claim 2 , further comprising accessing a database comprising historical data indicating passenger requests received by the processing device in association with one or more previous events, wherein the expected demand is based on the historical data.

4. The method of claim 1 , further comprising parsing data from one or more websites to identify the event and the location of the event.

5. The method of claim 1 , further comprising directing a first set of the plurality of driver computing devices to arrive at the location of the event at a first time and a second set of the plurality of driver computing devices to arrive at the location of the event at a second time.

6. The method of claim 5 , wherein the first time and the second time are based on historical data indicating passenger requests received by the processing device as a function of time in association with one or more previous events.

7. The method of claim 1 , further comprising accessing a database comprising historical data indicating durations of events similar to the event and estimating the end time based on the historical data.

8. The method of claim 1 , wherein the end time is estimated based on an amount of requests received from passengers attending the event.

9. An apparatus comprising:

a memory; and

a processing device communicably coupled to the memory, the processing device to execute instructions to:

identify an event to be attended by a plurality of users of a taxi service;

determine a location of the event;

estimate an end time of the event;

responsive to determining an expected demand for transportation from the location of the event, generate, based on the expected demand, a schedule for directing a plurality of driver computing devices to arrive at the location of the event prior to receipt of passenger requests to be paired with the plurality of driver computing devices;

prior to the end time of the event, transmit, to the plurality of driver computing devices based on the schedule, navigational data to direct the plurality of driver computing devices to navigate to the location of the event to transport passengers;

subsequent to transmitting the navigational data, communicate with an event information source during the event to obtain updated information regarding how much time is remaining prior to the end time of the event;

responsive to receiving the updated information during the event from the event information source, generate, based on the updated information, an updated schedule; and

direct the plurality of driver computing devices to the location of the event based on the updated schedule.

10. The apparatus of claim 9 , wherein the processing device is further to, responsive to determining the expected demand, select the plurality of driver computing devices based on the expected demand.

11. The apparatus of claim 10 , wherein the processing device is further to access a database comprising historical data indicating passenger requests received by the processing device in association with one or more previous events, wherein the expected demand is based on the historical data.

12. The apparatus of claim 9 , wherein the processing device is further to parse data from one or more websites to identify the event and the location of the event.

13. The apparatus of claim 9 , wherein the processing device is further to direct a first set of the plurality of driver computing devices to arrive at the location of the event at a first time and a second set of the plurality of driver computing devices to arrive at the location of the event at a second time, wherein the first time and the second time are based on historical data indicating passenger requests received by the processing device as a function of time in association with one or more previous events.

14. The apparatus of claim 9 , wherein the processing device is further to access a database comprising historical data indicating durations of events similar to the event and determine the end time based on the historical data.

15. The apparatus of claim 9 , wherein the end time is estimated based on an amount of requests received from passengers attending the event.

16. At least one computer-readable non-transitory media storing one or more instructions which, when executed by a processing device, cause the processing device to:

identify an event to be attended by a plurality of users of a taxi service;

determine a location of the event;

estimate an end time of the event;

responsive to determining an expected demand for transportation from the location of the event, generate, based on the expected demand, a schedule for directing a plurality of driver computing devices to arrive at the location of the event prior to receipt of passenger requests to be paired with the plurality of driver computing devices;

prior to the end time of the event, transmit, to the plurality of driver computing devices based on the schedule, navigational data to direct the plurality of driver computing devices to navigate to the location of the event to transport passengers;

subsequent to transmitting the navigational data, communicate with an event information source during the event to obtain updated information regarding how much time is remaining prior to the end time of the event;

responsive to receiving the updated information during the event from the event information source, generate, based on the updated information, an updated schedule; and

direct the plurality of driver computing devices to the location of the event based on the updated schedule.

17. The at least one computer-readable non-transitory media of claim 16 , wherein the processing device is further to, responsive to determining the expected demand, select the plurality of driver computing devices based on the expected demand.

18. The at least one computer-readable non-transitory media of claim 17 , wherein the processing device is further to access a database comprising historical data indicating passenger requests received by the processing device in association with one or more previous events, wherein the expected demand is based on the historical data.

19. The at least one computer-readable non-transitory media of claim 17 , wherein the processing device is further to access a database comprising historical data indicating durations of events similar to the event and estimating the end time based on the historical data.

20. The method of claim 1 , wherein one or more of the plurality of driver computing devices is associated with a respective self-driven vehicle, wherein the processing device is to control movement of the respective self-driven vehicle by the transmitting of the navigational data.