Parking area recommendation method and apparatus, and medium
AssigneeBeijing Baidu Netcom Science Technology Co., Ltd.
InventorsYiming Zhang, Xiongfei Tan, Tingting Ge
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Abstract
Provided are a parking area recommendation method and apparatus, an electronic device, and a medium. The parking area recommendation method includes: 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, where each candidate parking area includes at least two parking spaces.
Claims13
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.
A parking area recommendation apparatus, comprising:
- at least one processor;
- and a memory, which is in a communication connection with the at least one processor;
- wherein
- the memory stores an instruction executable by the at least one processor, and the instruction, when executed by the at least one processor, enables the at least one processor to perform following steps:
- 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.
A non-transitory computer-readable storage medium storing a computer instruction, wherein the computer instruction is used for enabling a computer to perform the following steps:
- 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.
Dependencies are inferred from the claim text.