EP-4739556-A1 - A SYSTEM FOR PROVIDING INSURANCE AND VEHICLE MAINTENANCE SUGGESTIONS BY ANALYZING DRIVER BEHAVIOUR

Abstract

The present invention relates to a system (1) for analyzing driver behaviour by using artificial intelligence, machine learning and data mining technologies; presenting detailed reports related to vehicle (2) usage data to users by analyzing them; assisting users to improve their driving habits with these reports; improving the safety in the vehicle (2), energy efficiency and driving experience; and presenting suitable insurance options by predicting the insurance risk of users.

Inventors

• KHAJEI, Elmira
• DURAN, AHMET

Assignees

• TURKIYE'NIN OTOMOBILI GIRISIM GRUBU SANAYI VE TICARET ANONIM SIRKETI

Dates

Publication Date

20260513

Application Date

20240705

Claims (20)

1. 1. A system (1) developed with the aim of accurately analyzing driver behaviour by using data collected from vehicle sensors; assisting users to improve their driving habits by providing users with detailed reports on this data; and assisting to extend the life of vehicles by also providing predictive maintenance features comprising at least one vehicle (2) which is a land transportation vehicle with motor and wheels; and is configured to be designed to exchange data by using the CAN-Bus communication protocol and to transport passengers and/or to carry cargo; at least one interface (3) which is configured to display notifications, vehicle insurance and maintenance suggestions on at least one screen; at least one camera (4) which is positioned inside the vehicle (2) and is configured to collect data such as speed, braking, accelerator pedal usage, steering angle and vehicle location; at least one detector (5) which is positioned inside the vehicle (2) and is configured to detect data such as speed, braking, accelerator pedal usage, steering angle and vehicle location; at least one cloud database (6) which is configured to enable to keep a record of the data collected therein in a secure and centralized way; and characterized by at least one server (7) which is configured to be in communication with the vehicle (2); to exchange data with the camera (4), the detector (5) and the cloud database (6); to analyze the driving data it retrieves from the cloud database (6) according to predefined driving behaviour features by using artificial intelligence and machine learning algorithms; to identify the attributes of the data; to classify the data according to these attributes; to create a model that determines how drivers react to certain driving behaviours and when they exhibit those behaviours based on the results of analysis by using artificial intelligence and machine learning algorithms; to take into account the weather and road conditions when performing vehicle driving behaviour analysis; to create courses of action that drivers can adopt for a safer driving experience such as warning notifications and suggestions for changing driving style, based on the modelling results, and to present them on the interface (3).
2. 2. A system (1) according to Claim 1; characterized by the vehicle (2) which is configured to exchange data by using the CAN-Bus communication protocol.
3. 3. A system (1) according to Claim 1 or 2; characterized by the vehicle (2) which is an automobile in the form of a land transportation vehicle with a motor and wheels and is configured to establish connection with the camera (4) and the detector (5) therein by using the CAN-Bus communication protocol.
4. 4. A system (1) according to any one of the preceding claims; characterized by the vehicle (2) which is configured to establish connection with the server (7) by using any remote communication protocol, and to exchange data with the interface (3) and the cloud database (6) through this established connection.
5. 5. A system (1) according to any one of the preceding claims; characterized by the vehicle (2) which is configured to exchange data with the server (7) by using a data bus such as the Internet.
6. 6. A system (1) according to any one of the preceding claims; characterized by the interface (3) which is configured to display notifications and reports such as vehicle insurance and maintenance suggestions determined via the server (7) on at least one screen.
7. 7. A system (1) according to any one of the preceding claims; characterized by the camera (4) which is positioned inside the vehicle (2) and is configured to collect driving data such as speed, braking, accelerator pedal usage, steering angle and vehicle location within the vehicle (2).
8. 8. A system (1) according to any one of the preceding claims; characterized by the detector (5) which is positioned inside the vehicle (2) and is configured to detect driving data such as speed, braking, accelerator pedal usage, steering angle and vehicle location within the vehicle (2).
9. 9. A system (1) according to any one of the preceding claims; characterized by the cloud database (6) which is configured to exchange data with the server (7).
10. 10. A system (1) according to any one of the preceding claims; characterized by the cloud database (6) which is configured to keep a record of the data collected therein by the camera (4) and the detector (5) in a secure and centralized way.
11. 11. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to establish communication with the vehicle (2) by using any communication protocol, and to exchange data with the interface (3) and the cloud database (6) through this established communication.
12. 12. A system (1) according to claim 11; characterized by the server (7) which is configured to establish communication with the vehicle (2) over a data network such as the Internet.
13. 13. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to save driving data such as vehicle speed, braking, accelerator pedal usage, steering angle, vehicle location, vehicle energy usage and battery data collected via the camera (4) and the detector (5) located inside the vehicle (2) on the cloud database (6).
14. 14. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to perform data pre-processing operation such as deleting redundant data, completing missing data and correcting data errors by using data mining and big data analytics technologies in order to check the accuracy and completeness of the driving data it retrieves from the cloud database (6).
15. 15. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to apply methods such as Dimension Reduction when it performs data pre-processing operation; to ensure data integrity; and to reduce the data size.
16. 16. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to identify driver behaviours by using predefined features such as overdriving, sudden braking or acceleration, sudden steering movements.
17. 17. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to analyze driving data it retrieves from the cloud database (6) according to predefined driving behaviour features by using artificial intelligence and machine learning algorithms; to identify the attributes of the data; and to classify the data according to these attributes.
18. 18. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to create a model that determines how drivers react to certain driving behaviours and when they exhibit those behaviours based on the results of analysis by using artificial intelligence and machine learning algorithms.
19. 19. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to take into account the weather and road conditions when performing vehicle driving behaviour analysis.
20. 20. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to create courses of action that drivers can adopt for a safer driving experience such as warning notifications and suggestions for changing driving style, based on the modelling results, and to present them on the interface (3).

Description

A SYSTEM FOR PROVIDING INSURANCE AND VEHICLE MAINTENANCE SUGGESTIONS BY ANALYZING DRIVER BEHAVIOUR Technical Field The present invention relates to a system for analyzing driver behaviour by using artificial intelligence, machine learning and data mining technologies; presenting detailed reports related to vehicle usage data to users by analyzing them; assisting users to improve their driving habits with these reports; improving the safety in the vehicle, energy efficiency and driving experience; and presenting suitable insurance options by predicting the insurance risk of users. Background of the Invention Today, there are different approaches to driver behaviour analysis such as tracking driver behaviour via a visual or auditory interface. However, these approaches often distract the driver or are misleading. Some current applications are limited to monitoring the behaviour of drivers and do not provide users with sufficient feedback related to this data. Furthermore, it is stated that some applications are only intended for parents to monitor the driving habits of their children. For this reason, considering the studies and deficiencies included in the current technique, it is understood that there is a need for a system for accurately analyzing driver behaviour by using data collected from vehicle sensors; assisting users to improve their driving habits by providing users with detailed reports on this data; and assisting to extend the life of vehicles by also providing predictive maintenance features. The Chinese patent document no. CN111461185A, an application included in the state of the art discloses a system for analyzing the driving behaviour of drivers by using a machine learning algorithm. In the system of the said invention, internal sensors of a vehicle record various operating condition information of the vehicle and CAN bus (Controller Area Network) technology is used to transmit these signals to the computer in a quick, accurate and convenient way. The invention uses CAN bus, GPS and GPRS technology to realize online monitoring of vehicles and performs big data analysis through massive on-board data such as speed, rotation speed and other information in order to complete driving behaviour analysis and vehicle failure analysis functions. In the said invention, based on the data obtained by the CAN bus, eight signals such as brake pedal, accelerator pedal position, revolutions per minute and speed recorded by the CAN bus are selected and clustered. In the said invention, raw data on the driving behaviour of drivers is collected and processed. In the invention, the driving behaviour of the driver is accurately assessed by analyzing the driving habits and rules of the driver and establishing an association between Internet of Vehicles data, drivers and traffic safety. Summary of the Invention An object of the present invention is to realize a system developed with the aim of analyzing driver behaviour by using artificial intelligence, machine learning and data mining technologies; presenting detailed reports related to vehicle usage data to users by analyzing them; assisting users to improve their driving habits with these reports; improving the safety in the vehicle, energy efficiency and driving experience; and presenting suitable insurance options by predicting the insurance risk of users. Detailed Description of the Invention “A System for Providing Insurance and Vehicle Maintenance Suggestions by Analyzing Driver Behaviour” realized to fulfd the objective of the present invention is shown in the figure attached, in which: Figure 1 is a schematic view of the inventive system. The components illustrated in the figure are individually numbered, where the numbers refer to the following: 1. System 2. Vehicle 3. Interface 4. Camera 5. Detector 6. Cloud Database 7. Server The inventive system (1) developed with the aim of accurately analyzing driver behaviour by using data collected from vehicle sensors; assisting users to improve their driving habits by providing users with detailed reports on this data; and assisting to extend the life of vehicles by also providing predictive maintenance features comprises at least one vehicle (2) which is a land transportation vehicle with motor and wheels; and is configured to be designed to exchange data by using the CAN-Bus communication protocol and to transport passengers and/or to carry cargo; at least one interface (3) which is configured to display notifications, vehicle insurance and maintenance suggestions on at least one screen; at least one camera (4) which is positioned inside the vehicle (2) and is configured to collect data such as speed, braking, accelerator pedal usage, steering angle and vehicle location; at least one detector (5) which is positioned inside the vehicle (2) and is configured to detect data such as speed, braking, accelerator pedal usage, steering angle and vehicle location; at least one cloud database (6) which is config