US 12,067,507 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 Nov. 10, 2023, as Appl. No. 18/506,670.
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 2024/0078477 A1, Mar. 7, 2024
Int. Cl. G06Q 10/047 (2023.01); G06F 16/29 (2019.01); G06Q 10/02 (2012.01); 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 processing a plurality of transport service transactions, the method comprising:
for each transport service transaction of the plurality of transport service transactions, determining a transport service location at a point of interest entity, the transport service transaction having been executed at the transport service location;
clustering the transport service locations at the point of interest entity determined for the plurality of transport service transactions;
determining one or more candidate transport service locations at the point of interest entity based on the clustering; and
providing the one or more candidate transport service locations at the point of interest entity to a device associated with a transport service transaction that is to be executed at the point of interest entity.