US 11,836,652 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)
Appl. No. 17/419,625
Filed by GRABTAXI HOLDINGS PTE. LTD., Singapore (SG)
PCT Filed Feb. 13, 2019, PCT No. PCT/SG2019/050085
§ 371(c)(1), (2) Date Jun. 29, 2021,
PCT Pub. No. WO2020/167244, PCT Pub. Date Aug. 20, 2020.
Prior Publication US 2022/0083925 A1, Mar. 17, 2022
Int. Cl. G06Q 10/02 (2012.01); G06Q 10/047 (2023.01); G06F 16/29 (2019.01); G06Q 10/0631 (2023.01); G06Q 10/0835 (2023.01); G06Q 50/30 (2012.01); 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 50/30 (2013.01); H04W 4/027 (2013.01); H04W 4/40 (2018.02)] 20 Claims
OG exemplary drawing
 
1. A method of transport service, the method comprising:
receiving a plurality of transport service transactions associated with a point of interest entity;
for each transport service transaction of the plurality of transport service transactions, determining a transport service location at the point of interest entity, the transport service transaction being 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 client or a service provider associated with a transport service transaction that is to be executed at the point of interest entity.