	US 12,217,607 B2
	Parking area recommendation method and apparatus, and medium
Yiming Zhang, Beijing (CN); Xiongfei Tan, Beijing (CN); and Tingting Ge, Beijing (CN)
Assigned to BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD., Beijing (CN)
Appl. No. 17/908,789
Filed by BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD., Beijing (CN)
PCT Filed Feb. 28, 2022, PCT No. PCT/CN2022/078157 § 371(c)(1), (2) Date Sep. 1, 2022, PCT Pub. No. WO2022/237277, PCT Pub. Date Nov. 17, 2022.
Claims priority of application No. 202110518142.7 (CN), filed on May 12, 2021.
Prior Publication US 2024/0194071 A1, Jun. 13, 2024
Int. Cl. G08G 1/14 (2006.01); G06F 18/23 (2023.01)

CPC G08G 1/144 (2013.01) [G06F 18/23 (2023.01)]

13 Claims

1. A parking area recommendation method, comprising:

determining parking space occupancy data of a target parking lot; and

selecting a target parking area from a plurality of candidate parking areas of the target parking lot according to the parking space occupancy data; wherein each of the plurality of candidate parking areas comprises at least two parking spaces;

wherein the plurality of candidate parking areas are determined in the following manner:

determining a historical occupancy duration and position information of each of a plurality of parking spaces in the target parking lot; and

performing area partition on the plurality of parking spaces according to the historical occupancy duration and position information of each of the plurality of parking spaces to obtain the plurality of candidate parking areas;

wherein the performing area partition on the plurality of parking spaces according to the historical occupancy duration and position information of each of the plurality of parking spaces to obtain the plurality of candidate parking areas comprises:

clustering the plurality of parking spaces according to the historical occupancy duration of each of the plurality of parking spaces to obtain an occupancy duration clustering result of the plurality of parking spaces; and

performing the area partition on the plurality of parking spaces according to the occupancy duration clustering result and the position information of each of the plurality of parking spaces to obtain the plurality of candidate parking areas;

wherein performing the area partition on the plurality of parking spaces according to the occupancy duration clustering result and the position information of each of the plurality of parking spaces to obtain the plurality of candidate parking areas comprises:

fusing the occupancy duration clustering result and the position information of each of the plurality of parking spaces, clustering a fusion result using a clustering algorithm, and performing the area partition on the plurality of parking spaces according to a clustering result of the fusion result to obtain the plurality of candidate parking areas.