Car recommendation system for car sharing service and method thereof

Patent metadata

Field	Value
Publication number	US-11941682-B2
Application number	US-202217569104-A
Country	US
Kind code	B2
Filing date	Jan 5, 2022
Priority date	Sep 7, 2021
Publication date	Mar 26, 2024
Grant date	Mar 26, 2024

Abstract

A vehicle recommendation system recommends an eco-friendly vehicle over an internal combustion engine vehicle. The system includes a server that calculates a first recommendation score indicating suitability for recommendation of an eco-friendly vehicle based on a previously stored vehicle use record for the customer, receives vehicle use information for using the car sharing service from a customer terminal possessed by the customer, and calculates a second recommendation score indicating suitability for recommendation of the eco-friendly vehicle based on the vehicle use information. The server transmits recommendation information related to an internal combustion engine vehicle a hybrid vehicle, or an electric vehicle to the customer terminal based on at least one of a result of comparing the first recommended score with a predetermined first reference value or a result of comparing the second recommended score with a predetermined second reference value.

First claim

What is claimed is:

1. A vehicle recommendation system that recommends a vehicle to a customer intending to use a car sharing service, the system comprising:
a server configured to calculate a first recommendation score indicating suitability for recommendation of the vehicle based on a previously stored vehicle use record for the customer, receive vehicle use information for using the car sharing service from a customer terminal possessed by the customer, and calculate a second recommendation score indicating suitability for recommendation of the vehicle based on the vehicle use information; and
a vehicle terminal mounted on the vehicle associated with the car sharing service, the vehicle terminal including a vehicle controller for transmitting position information of the vehicle terminal to the server and receiving a message from the server,
wherein the server is configured to transmit recommendation information related to an internal combustion engine vehicle, a hybrid vehicle, or an electric vehicle to the customer terminal based on at least one of a result of comparing the first recommended score with a predetermined first reference value or a result of comparing the second recommended score with a predetermined second reference value, and
wherein the server is configured to transmit the message upon reserving the vehicle based on the at least one of the result of comparing the first recommended score with the predetermined first reference value or the result of comparing the second recommended score with the predetermined second reference value.

2. The vehicle recommendation system of claim 1 , wherein the server, when the customer terminal is a customer terminal of a customer who has already used ft the vehicle more than a reference number of times, is configured to calculate the first recommendation score, and when the first recommendation score is less than the first reference value, determine that a recommendation for the internal combustion engine vehicle is possible.

3. The vehicle recommendation system of claim 2 , wherein the server, when the first recommendation score is greater than or equal to the first reference value, is configured to calculate the second recommendation score, when the second recommendation score is less than the second reference value, determine that a recommendation for the hybrid vehicle is possible, and when the second recommendation score is equal to or greater than the second reference value, determine that a recommendation for the electric vehicle is possible.

4. The vehicle recommendation system of claim 3 , wherein the server, when the customer terminal is a customer terminal of a customer who has used the vehicle less than the reference number of times or a new customer who has no record of using the car sharing service, is configured to calculate the second recommendation score, and when the second recommendation score is less than the second reference value, determines that a recommendation for the hybrid vehicle is possible, and when the second recommendation score is equal to or greater than the second reference value, determine that a recommendation for the electric vehicle is possible.

5. The vehicle recommendation system of claim 4 , wherein the server, based on vehicle use record of each of total numbers of times at which the customer used the vehicle, is configured to:
classify a driving area as a city or non-city area, and calculates a first driving score by multiplying the score mapped to the classified driving area by a first weight;
classify a driving distance as greater than or equal to, or less than the reference distance, and calculates a second driving score multiplying a score mapped to the classified driving distance by a second weight;
classify driving days as weekdays or weekends, and calculate a third driving score by multiplying a score mapped to the classified driving days by a third weight;
classify driving purpose as personal or business purpose, and calculate a fourth driving score by multiplying a score mapped to the classified driving purpose by a fourth weight;
calculate a driving score corresponding to each of numbers of times of use by adding at least two of the first driving score, the second driving score, the third driving score, or the fourth driving score; and
calculate a total driving score by adding the driving score corresponding to each of the total numbers of times of use, and calculates a first recommended score, which is an average value of the total driving scores.

6. The vehicle recommendation system of claim 5 , wherein the server is configured to calculate the driving score corresponding to each of the numbers of times of use based on the first driving score, the second driving score, the third driving score, or the fourth driving score.

7. The vehicle recommendation system of claim 4 , wherein the server, based on the vehicle use information, is configured to:
classify a use area designated by the customer as a receiving position of the vehicle as a city or non-city area, and calculate a first use score by multiplying a score mapped to the classified position by a first weight;
classify a use distance, which is a distance from the use area to the destination that is inputted by the customer, as greater than or equal to, or less than a reference distance, and calculate a second use score by multiplying a score mapped to the classified distance by a second weight;
classify use days as weekdays or weekends, and calculate a third use score by multiplying a score mapped to the classified days of the week by a third weight;
classify a use purpose as a personal or business purpose, and calculates a fourth use score by multiplying a score mapped to the classified purpose by a fourth weight; and
calculate the second recommendation score by adding at least two of the first use score, the second use score, the third use score, or the fourth use score.

8. The vehicle recommendation system of claim 7 , wherein the server is configured to calculate the second recommendation score based on the first use score, the second use score, or the third use score.

9. The vehicle recommendation system of claim 4 , wherein the server, is configured to:
in response to determining that the recommendation for the hybrid vehicle is possible, check vehicles which are available during a use period requested by the customer among a plurality of vehicles positioned within a predetermined radius based on a use area that is designated by the customer as a receiving position of the vehicle, and
when a plurality of hybrid vehicles corresponding to a predetermined recommended number exist among the checked vehicles, transmit recommendation information related to the hybrid vehicles corresponding to the recommended number to the customer terminal.

10. The vehicle recommendation system of claim 9 , wherein the server, when the hybrid vehicles corresponding to the recommended number does not exist among the checked vehicles, is configured to transmit recommendation information related to a plurality of recommendable hybrid vehicles and internal combustion engine vehicles to the customer terminal.

11. The vehicle recommendation system of claim 4 , wherein the server, is configured to:
in response to determining that the recommendation for the electric vehicle is possible, check vehicles which are available during a use period requested by the customer among a plurality of vehicles positioned within a predetermined radius based on a use area that is designated by the customer as a receiving position of the vehicle, and
when a plurality of electric vehicles corresponding to a predetermined recommended number exist among the checked vehicle

Assignees

• Hyundai Motor Co Ltd
• Kia Corp

Inventors

• Kim Sojeong

Classifications

• G06Q30/0631 Primary

  Recommending goods or services · CPC title

• G06Q30/0282 Primary

  Rating or review of business operators or products · CPC title

• G06Q30/0645

  Rental transactions; Leasing transactions · CPC title

• G06F18/24

  Classification techniques · CPC title

• G06Q50/40

  Business processes related to the transportation industry (shipping G06Q10/083) · CPC title