Vehicle equipment-based driving behavior evaluation method and vehicle equipment-based driving behavior evaluation device

A technology for in-vehicle equipment and vehicle driving, applied in the field of Internet of Vehicles applications, can solve the problems of lack of driving behavior parameters in subsequent applications, lack of evaluation methods for vehicle owners' driving behavior, and inability to effectively obtain them.

Inactive Publication Date: 2016-06-08
SHENZHEN AUTONET CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The massive amount of driving behavior data generated during the development of the Internet of Vehicles provides the possibility for driving behavior evaluation, but it is currently impossible to effectively obtain the driving behavior data of the vehicle driven by t

Method used

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  • Vehicle equipment-based driving behavior evaluation method and vehicle equipment-based driving behavior evaluation device
  • Vehicle equipment-based driving behavior evaluation method and vehicle equipment-based driving behavior evaluation device
  • Vehicle equipment-based driving behavior evaluation method and vehicle equipment-based driving behavior evaluation device

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0117] The above also includes the step of setting a reference value for each driving behavior element in the driving information. The setting of the reference value comprises the steps of,

[0118] S11) Collect in batches to obtain the driving behavior element data set of each vehicle including the mileage of the vehicle on the same day, the duration of the vehicle on the same day and the average speed of the vehicle to form a vehicle driving behavior database;

[0119] S12) Eliminate the mileage of the vehicle in the vehicle driving behavior database on the same day, the driving behavior element data group of the vehicle's daily duration or the average speed of the vehicle being zero;

[0120] S13) Obtain the mean value of the daily mileage, the daily duration of the vehicle, and / or the average speed of the vehicle of all the vehicles in the vehicle driving behavior database as the reference value of the daily mileage, the daily duration of the vehicle, and / or the average sp...

Embodiment 2

[0123] In the above, after the step S13, it also includes,

[0124] S14) bring into step S2 with the reference vehicle driving behavior database, obtain the driving behavior distribution map;

[0125]S15) judging whether the driving behavior profile is normally distributed around the middle as a peak, if so, execute step S17, otherwise execute step S16;

[0126] S16) increase / decrease the size of the reference value by a percentage, and return to step S14;

[0127] S17) Set the current value as the reference value.

[0128] This embodiment further adds the process of calibrating the reference value of each driving behavior element, and obtains the driving behavior distribution map by using the initial reference value obtained above for all data to obtain the driving behavior distribution map, and then analyzes whether the driving behavior distribution map conforms to statistics. The principle of normal distribution, when it is not met, it is corrected by increasing or decrea...

Embodiment 3

[0130] In the above, the step S2 specifically includes,

[0131] S21) are respectively the initial value of the three driving behavior elements of the mileage of the day, the duration of the vehicle on the day and the average speed of the vehicle according to the weight of 3:3:4, which is not zero;

[0132] S22) The three driving behavior elements of the mileage of the day, the duration of the vehicle on the day and the average speed of the vehicle are respectively set at least three different deduction points according to the deviation from the reference value;

[0133] S23) According to the obtained mileage of the day, the length of the vehicle on the day and the deduction segment where the average speed of the vehicle deviates from the reference value, the evaluation score is obtained by deducting the score of the deduction segment from the initial value;

[0134] S24) Accumulate the mileage of the day, the evaluation score of the vehicle's current time and the average spee...

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Abstract

The invention provides a vehicle equipment-based driving behavior evaluation method and a vehicle equipment-based driving behavior evaluation device. The method comprises the steps of selecting vehicle equipment to acquire three driving behavior factors, i.e., vehicle mileage on that day, vehicle duration on that day and vehicle average speed per hour which are taken as factors for evaluating a driving behavior, then further comparing current driving behavior factors of a vehicle with reference values, calculating the deviation between the driving behavior factors and the corresponding reference values, and accumulating the results to obtain numerical driving behavior values; further obtaining corresponding categories according to different score area ranges; combining different scenes to realize applications such as schematic evaluation, driving situation reference evaluation and the like to provide suggestions and risk prompts for corresponding driving behaviors of a user. Therefore, the aim of enabling the user to form a good driving habit is achieved; furthermore, the method and the device are also used for launching precise marketing by an enterprise by aiming at different driving habits of users, so that a better marketing effect is achieved.

Description

technical field [0001] The present invention relates to the application technology of Internet of Vehicles, in particular to a method and device for evaluating driving behavior based on vehicle equipment. Background technique [0002] Private cars are one of the important means of transportation for people to travel. The popularization of automobiles leads to the network formed between automobiles—the Internet of Vehicles is becoming more and more important, especially in the era of IOT, the Internet of Vehicles may become the third largest Internet object in the world after the mobile Internet composed of the Internet and mobile phones, so it contains With unlimited opportunities. [0003] In the Internet of Vehicles system, the most important subject of the smart car is to make the car intelligent through the on-board equipment, and then collect the car data in real time and upload it to the cloud. , in order to ensure that the smart car truly has sufficient intelligence...

Claims

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Application Information

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IPC IPC(8): G07C5/08G06Q30/02
CPCG06Q30/0202G07C5/0808G07C5/0841
Inventor 于建文冯唐强程敏孙号令
Owner SHENZHEN AUTONET CO LTD
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