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CN-121996851-A - Parking information search method, electronic device, medium, and program product

CN121996851ACN 121996851 ACN121996851 ACN 121996851ACN-121996851-A

Abstract

The application relates to the technical field of intelligent driving, and discloses a parking information searching method, electronic equipment, a medium and a program product. The method includes the steps of determining feature information of at least one parking lot in a first range based on a search request of parking information, determining a candidate parking lot corresponding to a first vehicle according to the feature information of the parking lot and parameter information of the first vehicle, and determining a target parking lot according to position information of the first vehicle and position information of the candidate parking lot. The method can improve the efficiency of searching the parking lot information.

Inventors

  • HAN FEI
  • Zhang Detou

Assignees

  • 智驾大陆(上海)智能科技有限公司

Dates

Publication Date
20260508
Application Date
20260114

Claims (12)

  1. 1. A parking information search method applied to an electronic device, the method comprising: Determining characteristic information of at least one parking lot in a first range based on a search request of parking information; determining a candidate parking lot corresponding to the first vehicle according to the characteristic information of the parking lot and the parameter information of the first vehicle; And determining a target parking lot according to the position information of the first vehicle and the position information of the candidate parking lot.
  2. 2. The method for searching for parking information according to claim 1, wherein the determining feature information of at least one parking lot within the first range based on the search request for parking information includes: Determining first information of at least one parking lot in a first range based on a search request of parking information, wherein the first information comprises at least one of position information and type information; Determining network search keywords based on the first information of each parking lot; Searching in network information based on the network search keywords, and determining the characteristic information of each parking lot, wherein the characteristic information comprises at least one of height limit, parking space bearing, parking space size, business hours and maintenance period.
  3. 3. The parking information search method according to claim 2, wherein the parameter information of the first vehicle includes a weight, a size of the first vehicle; the method for determining the candidate parking lot corresponding to the first vehicle according to the characteristic information of the parking lot and the parameter information of the first vehicle comprises the following steps: Matching the height limit and/or the parking space size of each parking lot with the size of the first vehicle to obtain a first matching result; the parking space bearing of each parking lot is matched with the weight of the first vehicle, and a second matching result is obtained; matching business hours and/or maintenance time periods of the parking lots with current time information to obtain a third matching result; and determining the parking lots with the successful matching among the first matching result, the second matching result and the third matching result as the candidate parking lots.
  4. 4. The method for searching for parking information according to claim 3, wherein, The step of matching the height limit and/or the parking space size of each parking lot with the size of the first vehicle to obtain a first matching result comprises the following steps: Determining that the first matching result of the parking lot is successful in matching according to the fact that the height limit of the parking lot and/or the parking space size is larger than or equal to the size of the first vehicle; the step of matching the parking space bearing of each parking lot with the weight of the first vehicle to obtain a second matching result comprises the following steps: The parking space corresponding to the parking lot is greater than or equal to the weight of the first vehicle, and a second matching result of the parking lot is determined to be successful in matching; matching the business hours and/or maintenance time periods of the parking lots with the current time information to obtain a third matching result, wherein the matching comprises the following steps: Acquiring business hours and maintenance time periods of the parking lot corresponding to the date in the current time information; in the case that the business hours of the parking lot are all day time, determining the third matching result as successful matching, or And when the starting time of the business hours of the parking lot is earlier than or equal to the arrival time of the current time information, and the ending time of the business hours of the parking lot is later than or equal to the ending time of the current time information, and the maintenance period of the parking lot is not coincident with the period between the arrival time and the ending time, determining that the third matching result is successful.
  5. 5. The parking information search method according to claim 3, characterized by further comprising: Determining a non-candidate parking lot within the first range; Determining one or more first candidate alternative parking lots corresponding to the non-candidate parking lots from the parking lots in the first geographic area based on the position information of the non-candidate parking lots and the position information of the parking lots in the first geographic area; determining one or more second candidate alternative parking lots according to the characteristic information of the first candidate alternative parking lots and the parameter information of the first vehicle; acquiring a replacement score of each second candidate replacement parking lot according to the position information of each second candidate replacement parking lot, the characteristic information of each second candidate replacement parking lot, the position information of the non-candidate parking lot and the characteristic information of the non-candidate parking lot; Determining the second candidate alternative parking lot with the highest alternative score as an alternative candidate parking lot corresponding to the non-candidate parking lot; And determining a target parking lot according to the position information of the first vehicle, the position information of the candidate parking lot and the position information of the alternative candidate parking lot.
  6. 6. The method according to claim 5, wherein the characteristic information of the second candidate alternative parking lot includes at least one of a height limit, a parking space load bearing, a parking space size, an operating time, and a maintenance period, and the characteristic information of the non-candidate parking lot includes at least one of a height limit, a parking space load bearing, a parking space size, an operating time, and a maintenance period; The obtaining the replacement score of each second candidate replacement parking lot according to the position information of each second candidate replacement parking lot, the feature information of each second candidate replacement parking lot, and the feature information of the non-candidate parking lot and the non-candidate parking lot, includes: Acquiring a distance score of each second candidate alternative parking lot according to the position information of each second candidate alternative parking lot and the position information of the first vehicle; According to the limit height of each second candidate alternative parking lot and the limit height of the non-candidate parking lot, obtaining the limit height lifting rate of each second candidate alternative parking lot; Acquiring the lifting rate of the parking space size of each second candidate substituted parking lot according to the parking space size of each second candidate substituted parking lot and the parking space size of the non-candidate parking lot; acquiring parameter improvement scores of the second candidate alternative parking lots according to the height-limiting lifting rate, the weight of the height-limiting lifting rate, the parking space size lifting rate and the weight of the parking space size lifting rate; Acquiring a convenience score of each second candidate alternative parking lot according to business hours of each second candidate alternative parking lot, maintenance time periods of each second candidate alternative parking lot and the current time information; And acquiring a replacement score of each second candidate replacement parking lot according to the distance score, the weight of the distance score, the parameter improvement score, the weight of the parameter improvement score, the convenience score and the weight of the convenience score.
  7. 7. The parking information search method according to claim 6, characterized by further comprising: the step of obtaining a distance score of each second candidate alternative parking lot according to the position information of each second candidate alternative parking lot and the position information of the first vehicle comprises the following steps: Determining a first distance between the second candidate alternative parking lot and the first vehicle according to the position information of the second candidate alternative parking lot and the position information of the first vehicle; Determining a distance score for the second candidate replacement parking lot based on a first distance between the second candidate replacement parking lot and the first vehicle; Determining a convenience score for each of the second candidate replacement parking lots based on business hours of each of the second candidate replacement parking lots, maintenance periods of each of the second candidate replacement parking lots, and the current time information, comprising: determining a convenience score of the second candidate alternative parking lot as a first convenience score in the first case where the business hours of the second candidate alternative parking lot are all day times; Determining that the convenience score of the second candidate replacement target parking lot is a second convenience score in a second case where the range of business hours of the second candidate replacement target parking lot is greater than or equal to a period between an arrival time and an end time of the current time information and the feature information of the second candidate replacement target parking lot does not include the maintenance period; Determining that a convenience score of the second candidate replacement parking lot is a third convenience score in a case where a range of business hours of the second candidate replacement target parking lot is smaller than a period between the arrival time and the end time of the current time information or feature information of the second candidate replacement parking lot includes the maintenance period; wherein the first convenience score is greater than the second convenience score and greater than the third convenience score.
  8. 8. The method for searching for parking information according to claim 1, wherein, The searching request based on the parking information determines the characteristic information of at least one parking lot in a first range, and the searching request comprises the following steps: Determining at least one parking lot within a first range based on the search request for parking information; Dividing the at least one parking lot into a plurality of parking lot sets, wherein each parking lot set comprises at least one parking lot; determining first information of each parking lot in each parking lot set; determining network search keywords based on first information of each parking lot in each parking lot set; searching in network information based on the network searching keywords, and determining the characteristic information of each parking lot in each parking lot set.
  9. 9. An electronic device, comprising: A memory for storing instructions for execution by one or more processors of the electronic device; And a processor, which is one of the processors of the electronic device, for executing the instructions stored in the memory to implement the parking information search method according to any one of claims 1 to 8.
  10. 10. A computer-readable storage medium, in which a computer program or instructions is stored which, when executed by a communication device, implements the parking information search method according to any one of claims 1 to 8.
  11. 11. A program product comprising instructions which, when executed, cause the parking information search method according to any one of claims 1 to 8 to be implemented.
  12. 12. A vehicle comprising the electronic device of claim 9.

Description

Parking information search method, electronic device, medium, and program product Technical Field The present application relates to the field of intelligent driving technologies, and in particular, to a parking information searching method, an electronic device, a medium, and a program product. Background In the running process of vehicles, parameters of each parking lot are often required to be queried manually, parameters such as height limit, parking space bearing, parking space size, business hours and the like of the parking lot are confirmed, and the parameters of each parking lot are matched with the parameters of the vehicles so as to ensure that the corresponding parking lot is found for parking. However, this way of manually searching for the corresponding parking lot is less efficient overall. Disclosure of Invention The application aims to provide a parking information searching method, electronic equipment, media and program products, which can search the efficiency of a parking lot and save the labor cost. The first aspect of the application provides a parking information searching method, which comprises the steps of determining characteristic information of at least one parking lot in a first range based on a searching request of parking information, determining a candidate parking lot corresponding to a first vehicle according to the characteristic information of the parking lot and parameter information of the first vehicle, and determining a target parking lot according to position information of the first vehicle and position information of the candidate parking lot. It can be appreciated that according to the parking information searching method, the target parking lot for parking can be determined according to the information of the first vehicle, so that the efficiency of searching the parking lot is improved, and the labor cost is saved. In one possible implementation of the first aspect, determining the feature information of at least one parking lot in the first range based on the search request of the parking information includes determining first information of at least one parking lot in the first range based on the search request of the parking information, the first information including at least one of location information and type information, determining network search keywords based on the first information of each parking lot, searching in the network information based on the network search keywords, and determining the feature information of each parking lot, wherein the feature information includes at least one of height limit, parking space bearing, parking space size, business hours and maintenance period. In one possible implementation of the first aspect, the parameter information of the first vehicle includes a weight and a size of the first vehicle, determining a candidate parking lot corresponding to the first vehicle according to the feature information of the parking lot and the parameter information of the first vehicle, including matching a height limit and/or a parking space size of each parking lot with the size of the first vehicle to obtain a first matching result, matching a parking space bearing of each parking lot with the weight of the first vehicle to obtain a second matching result, matching business hours and/or maintenance time periods of each parking lot with current time information to obtain a third matching result, and determining the parking lot with the first matching result, the second matching result and the third matching result being successful in matching as the candidate parking lot. In one possible implementation of the first aspect, the step of matching the height limit and/or the parking space size of each parking lot with the size of the first vehicle to obtain a first matching result includes determining that the first matching result of the parking lot is successful in matching when the height limit and/or the parking space size of the parking lot is greater than or equal to the size of the first vehicle, the step of matching the parking space bearing of each parking lot with the weight of the first vehicle to obtain a second matching result includes determining that the second matching result of the parking lot is successful in matching when the parking space bearing of the parking lot is greater than or equal to the weight of the first vehicle, and the step of matching the business hours and/or the maintenance time of each parking lot with the current time information to obtain a third matching result includes obtaining the business hours and the maintenance time of the parking lot corresponding to the date in the current time information, and determining that the third matching result is successful in matching when the business hours of the parking lot is full day time, or determining that the end time of the business hours of the parking lot is earlier than or equal to the arrival time of the current time information is late