SYSTEM AND METHOD OF RECOMMENDING TYPE OF VEHICLE BASED ON CUSTOMER USE INFORMATION AND VEHICLE STATE

• US 20150170253A1
• Filed: 07/30/2014
• Published: 06/18/2015
• Est. Priority Date: 12/17/2013
• Status: Abandoned Application

• Current Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Original Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Inventors: KIM, Seon Su, PARK, Seung-Chang
• Application Number:
  US14/447,055
• Publication Number:
  US 20150170253A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A server receives customer information and driving information about a vehicle and accumulates and stores the received customer information and driving information in a database when driving of the vehicle ends. The server calculates a statistical average value of the driving information about the customer stored in the database based on the customer information and the vehicle information, compares the statistical average value of the driving information about the customer and a statistical average value of driving information about a plurality of general customers, and calculates a customer driving index for each item as a normal distribution based probability value. A customer tendency index is generated by multiplying a weight and the customer driving index of each item and adding the values.

Claims

1. A method of recommending a type of vehicle, comprising:

receiving, by a server, customer information and driving information about a vehicle when driving of the vehicle ends;

accumulating, by the server, the driving information collected from the vehicle and storing the accumulated driving information in a database;

calculating, by the server, a statistical average value of the driving information about the customer stored in the database based on the customer information and the vehicle information, inquiring the stored statistical average value of the driving information about the customer, comparing the statistical average value of the driving information about the customer and a statistical average value of driving information about a plurality of general customers, and calculating a customer driving index for each item as a normal distribution based probability value; and

generating a customer tendency index by multiplying a weight and the customer driving index of each item and adding the values.

2. The method of claim 1, wherein:

the weight for each item of the customer driving index is predetermined for each item of the customer tendency index.

3. The method of claim 2, wherein:

the customer driving index is a value expressed by an index for at least one item among a driving section, a driving frequency, a driving time zone, a driving time, a driving distance, an average speed, an average deceleration speed, an average acceleration speed, an idle time, an average fuel efficiency, an ADAS operation history, and a safety device operation history.

4. The method of claim 3, wherein:

the customer tendency index includes at least one item among a speed tendency index, an acceleration/deceleration index, a speed index compared to an accelerator opening rate, an acceleration/deceleration index compared to an accelerator opening rate, a weekend/weekday index, a mountain/downtown index, a fuel efficiency index, an average safety device operation index of entire sections, an average safety device operation index of a dangerous section, and an ADAS operation index.

5. The method of claim 4, further comprising:

calculating a difference by comparing the calculated customer tendency index of each item and the customer tendency index of each item for each type of vehicle, and adding the difference to recommend a type of vehicle having the smallest sum value of the differences.

6. The method of claim 5, further comprising:

providing at least one among a predetermined web page, a mobile device of a customer, a terminal of a driver, a terminal of a charger in business of a company, and a terminal of a dealer with generated vehicle recommendation information.

7. A system for recommending a type of vehicle communicating with a terminal of a vehicle, comprising:

a database which stores driving tendency information about a customer and driving tendency information for each type of vehicle; and

a server which receives customer information and driving information about the vehicle from a terminal of the vehicle when driving of the vehicle ends and stores the received customer information and driving information about the vehicle in the database, generates driving tendency information about the customer by using the driving information, and recommends a type of vehicle.

8. The system of claim 7, wherein:

the server includes;

an information receiver which receives the driving information collected from the vehicle and stores the received driving information in the database;

a customer tendency index calculator which calculates a statistical average value of the driving information about the customer stored in the database based on the customer information and the vehicle information, compares a statistical average value of the driving information about the customer and a statistical average value of driving information about a plurality of general customers and calculates a customer driving index for each item as a normal distribution based probability value, and generates a customer tendency index by multiplying a weight and the customer driving index of each item and adding the values; and

a vehicle type recommender which calculates a difference by comparing the calculated customer tendency index of each item and the customer tendency index of each item for each type of vehicle, and adds the difference to recommend a type of vehicle having the smallest sum value of the differences.