US 12,260,761 B2
Information processing method and apparatus, computer device and storage medium
Zhihuang Liu, Beijing (CN)
Assigned to TENCENT CLOUD COMPUTING (BEIJING) CO., LTD., Beijing (CN)
Filed by Tencent Cloud Computing (Beijing) Co., Ltd., Beijing (CN)
Filed on Feb. 28, 2023, as Appl. No. 18/115,640.
Application 18/115,640 is a continuation of application No. PCT/CN2021/107727, filed on Jul. 21, 2021.
Claims priority of application No. 202110456768.X (CN), filed on Apr. 26, 2021.
Prior Publication US 2023/0215272 A1, Jul. 6, 2023
Int. Cl. G08G 1/14 (2006.01); G06F 18/23 (2023.01); G08G 1/01 (2006.01)
CPC G08G 1/146 (2013.01) [G06F 18/23 (2023.01); G08G 1/0133 (2013.01); G08G 1/0145 (2013.01)] 18 Claims
OG exemplary drawing
 
1. An information processing method performed by a computer device, the method comprising:
acquiring free parking space information of a target path in a time period T1, the target path comprising N stop areas, the time period T1 being divided into K unit times; the free parking space information comprising free parking space data of each stop area in each unit time; and N and K both being positive integers, wherein each one of the K unit times is represented as an ith unit time, i being a positive integer and i≤K;
determining a free parking space change trend of the N stop areas in the time period T1 according to the free parking space information;
mining the free parking space change trend of the N stop areas in the time period T1 to obtain parking space prediction information;
acquiring traffic flow information of the target path in the time period T1, the target path comprising M road sections, the traffic flow information comprising traffic flow data of each road section at each unit time, M being a positive integer;
constructing traffic flow feature vectors of the M road sections in the time period T1 according to the traffic flow information;
clustering the traffic flow feature vectors to obtain road section prediction information, the road section prediction information comprising at least one of a congested road section or a non-congested road section; and
performing traffic planning for a vehicle along the target path according to the parking space prediction information and the road section prediction information.