US 12,321,873 B2
Automatically determining optimal transport service locations for points of interest from noisy multimodal data
Jagannadan Varadarajan, Singapore (SG); Sien Yi Tan, Singapore (SG); and Nguyen Duy Duong, Singapore (SG)
Assigned to GRABTAXI HOLDINGS PTE. LTD., Singapore (SG)
Filed by GRABTAXI HOLDINGS PTE. LTD., Singapore (SG)
Filed on Jul. 9, 2024, as Appl. No. 18/767,284.
Application 18/767,284 is a continuation of application No. 18/506,670, filed on Nov. 10, 2023, granted, now 12,067,507.
Application 18/506,670 is a continuation of application No. 17/419,625, granted, now 11,836,652, previously published as PCT/SG2019/050085, filed on Feb. 13, 2019.
Prior Publication US 2024/0362548 A1, Oct. 31, 2024
Int. Cl. G06Q 10/02 (2012.01); G06F 16/29 (2019.01); G06Q 10/047 (2023.01); G06Q 10/0631 (2023.01); G06Q 10/0835 (2023.01); G06Q 50/40 (2024.01); H04W 4/02 (2018.01); H04W 4/40 (2018.01)
CPC G06Q 10/047 (2013.01) [G06F 16/29 (2019.01); G06Q 10/02 (2013.01); G06Q 10/06315 (2013.01); G06Q 10/08355 (2013.01); G06Q 50/40 (2024.01); H04W 4/027 (2013.01); H04W 4/40 (2018.02)] 20 Claims
OG exemplary drawing
 
1. A method of determining service locations in a transport system, the method comprising:
receiving data associated with a plurality of transport service transactions associated with a point of interest entity;
determining, based at least in part on the data for each transport service transaction, a transport service location at the point of interest entity at which the transport service transaction was executed;
identifying at least a first candidate transport service location associated with the point of interest entity based at least in part on identifying clusters of the transport service locations at which the transport service transactions were executed; and
storing the at least first candidate transport service location as a suitable service location associated with the point of interest entity.