17739392. VEHICLE RENTAL METHOD BASED ON A SAFE DRIVING GRADE AND A SERVER USING THE SAME simplified abstract (KIA CORPORATION)

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VEHICLE RENTAL METHOD BASED ON A SAFE DRIVING GRADE AND A SERVER USING THE SAME

Organization Name

KIA CORPORATION

Inventor(s)

Nahyeon Pak of Anyang-si (KR)

VEHICLE RENTAL METHOD BASED ON A SAFE DRIVING GRADE AND A SERVER USING THE SAME - A simplified explanation of the abstract

This abstract first appeared for US patent application 17739392 titled 'VEHICLE RENTAL METHOD BASED ON A SAFE DRIVING GRADE AND A SERVER USING THE SAME

Simplified Explanation

The rental management server described in this patent application receives rental reservation requests for vehicles from users and integrated data about the users from an external server. It then analyzes the integrated data to generate information on the user's driving propensity and derives a safe driving score for the user. Based on this score, the server determines a safe driving grade for the user and adds benefits or restrictions to the rental services provided to the user accordingly. The server also stores the booker information and integrated data in a database.

  • The rental management server receives rental reservation requests and integrated user data.
  • It analyzes the integrated data to generate information on the user's driving propensity.
  • Based on the driving propensity information, it derives a safe driving score for the user.
  • The server determines a safe driving grade for the user based on the safe driving score.
  • Benefits or restrictions are added to the rental services provided to the user according to their safe driving grade.
  • The server stores booker information and integrated data in a database.

Potential Applications

This technology could be applied in various industries and scenarios, including:

  • Car rental companies can use this system to assess the driving propensity of their customers and provide personalized rental services.
  • Insurance companies can utilize the safe driving score to determine insurance premiums and offer customized policies.
  • Fleet management companies can monitor the driving behavior of their drivers and implement appropriate measures to improve safety.

Problems Solved

The rental management server addresses several problems:

  • Lack of personalized rental services: By analyzing the user's driving propensity, the server can tailor the rental services to meet the specific needs and preferences of each user.
  • Risk assessment: The system helps in assessing the accident risk of users based on their driving propensity, allowing for better risk management and decision-making.
  • Safety improvement: By providing benefits or restrictions based on the safe driving grade, the server incentivizes users to drive safely and responsibly.

Benefits

The rental management server offers several benefits:

  • Personalized rental experience: Users receive rental services that are customized to their driving propensity, enhancing their overall experience.
  • Improved safety: By analyzing driving patterns and accident risk, the server promotes safe driving behavior, reducing the likelihood of accidents.
  • Cost savings: Insurance premiums can be adjusted based on the safe driving score, potentially leading to lower costs for users with good driving records.


Original Abstract Submitted

A rental management server includes: a communication portion that receives a rental reservation request for a vehicle from a user terminal, and receives integrated data about a user from an external server. The rental management server also includes a controller that generates information on the user's driving propensity by analyzing the integrated data, derives a safe driving score for the user based on information about the driving propensity of the user, determines a safe driving grade for the user based on the safe driving score, and adds benefits or restrictions to rental services provided to the user according to the safe driving grade. Further, the rental management server includes a storage portion that stores booker information included in the reservation request and the integrated data in a database. The information about the user's driving propensity includes pattern information generated by analyzing driving pattern data, and an accident risk .

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