SYSTEMS AND METHODS FOR REACHABILITY OF DIFFERENT DESTINATIONS
Methods and systems for managing a fleet of ridesharing vehicles is provided. The methods and systems can allow for a communications interface to receive a plurality of user input boundaries specified on a geographical map, wherein the plurality of user input boundaries define a zone. The methods and systems also include at least one processor configured to estimate a number of riders based on a number of people that live within the zone and a number of people that work within the zone, to determine n number of sample trips within the zone, and to determine a number of ridesharing vehicles to supply for the zone over a time duration based on the estimate number of riders and the n number of sample trips within the zone.
1 . A system for managing a fleet of ridesharing vehicles, the system comprising:
a communications interface configured to receive a plurality of user input boundaries specified on a geographical map, wherein the plurality of user input boundaries define a zone;
at least one processor configured to:
estimate a number of riders based on a number of people that live within the zone and a number of people that work within the zone;
determine n number of sample trips within the zone, where n is an integer, and wherein each trip has a start location and an end location;
determine a number of ridesharing vehicles to supply for the zone over a time duration based on the estimate number of riders and the n number of sample trips within the zone; and
output the number of ridesharing vehicles to supply to a display.
2 . The system of claim 1 wherein n is selected such that variance for speed for each of the n sample trips is below a predetermined value.
3 . The system of claim 1 wherein n is selected such that variance for distance for each of the n sample trips is below a predetermined value.
4 . The system of claim 1 wherein n is based on a size of the zone.
5 . The system of claim 1 wherein n is 1000.
6 . The system of claim 1 wherein the start location and the end location of any trip of the n number of sample trips is predetermined.
7 . The system of claim 1 wherein the number of ridesharing vehicles to supply is a range.
8 . The system of claim 1 wherein determining a number of ridesharing vehicles to supply for the zone further comprises determining a confidence value for the determination, and for a confidence value below a threshold outputting an indicator that the zone is low confidence, otherwise, outputting the number of ridesharing vehicles.
9 . The system of claim 1 wherein the number of riders is received by a user input, and the user input is used instead of the estimated value.
10 . The system of claim 1 wherein determining a number of ridesharing vehicles to supply for the zone over a time duration is further based a distance, speed, wait time or any combination thereof.
11 . A method for managing a fleet of ridesharing vehicles, the method comprising:
receiving, via communications interface, a plurality of user input boundaries specified on a geographical map, wherein the plurality of user input boundaries define a zone;
estimating, via a processor, a number of riders based on a number of people that live within the zone and a number of people that work within the zone;
determining, via the processor, n number of sample trips within the zone, where n is an integer, and wherein each trip has a start location and an end location;
determining, via the processor, a number of ridesharing vehicles to supply for the zone over a time duration based on the estimate number of riders and the n number of sample trips within the zone; and
outputting, via the processor, the number of ridesharing vehicles to supply to a display.
12 . The method of claim 11 wherein n is selected such that variance for speed for each of the n sample trips is below a predetermined value.
13 . The method of claim 11 wherein n is selected such that variance for distance for each of the n sample trips is below a predetermined value.
14 . The method of claim 11 wherein n is based on a size of the zone.
15 . The method of claim 11 wherein n is 1000.
16 . The method of claim 11 wherein the start location and the end location of any trip of the n number of sample trips is predetermined.
17 . The method of claim 11 wherein the number of ridesharing vehicles to supply is a range.
18 . The method of claim 11 wherein determining a number of ridesharing vehicles to supply for the zone further comprises determining a confidence value for the determination, and for a confidence value below a threshold outputting an indicator that the zone is low confidence, otherwise, outputting the number of ridesharing vehicles.
19 . The method of claim 11 wherein the number of riders is received by a user input, and the user input is used instead of the estimated value.
20 . The method of claim 11 wherein determining a number of ridesharing vehicles to supply for the zone over a time duration is further based a distance, speed, wait time or any combination thereof.