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Driver violation risk estimation method based on duration model

A technique of duration and risk estimation, applied in the field of driver violation risk estimation based on duration model

Inactive Publication Date: 2019-05-14
BEIJING JIAOTONG UNIV
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  • Claims
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Problems solved by technology

In the existing related research, there is little research on the characteristics of drivers’ violations from the perspective of the interval time between drivers’ violations.

Method used

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  • Driver violation risk estimation method based on duration model
  • Driver violation risk estimation method based on duration model
  • Driver violation risk estimation method based on duration model

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Embodiment Construction

[0084] In order to illustrate the present invention more clearly, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are only used to illustrate the present invention, but can not be used to limit the scope of the present invention.

[0085] A. Based on the driver's ID number, the driver's personal attributes, vehicle attributes and violation information are fused and matched, the interval time between driver violations is extracted, and a sample database of driver violation interval time is constructed

[0086] According to the driver's personal attribute database, extract the driver's personal attributes such as gender, age, and driving experience; from the vehicle attribute database, extract vehicle attribute information such as vehicle attribution and vehicle type; Violation attributes such as the number of violations in the previous yea...

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Abstract

The invention belongs to the technical field of traffic safety, and relates to a driver violation risk estimation method based on a duration model, which comprises the following steps: A, constructinga driver violation interval time sample database; B, estimating overall distribution of driver violation interval time; C, fitting a violation interval time duration model, and estimating a regression parameter of the calibration duration model; D, estimating the cumulative survival rate of the driver violation interval time; And E, estimating the risk of violation of the driver. According to themethod, deleting data is considered, and driver violation interval time distribution is estimated more accurately. Identifying significant influence factors of the violation behavior, and estimatingthe violation risk probability of the driver in a future period of time. Therefore, violation early warning prompt is provided for the driver, the possibility of violation and accident events of the driver is reduced, and the road traffic safety is improved.

Description

technical field [0001] The invention belongs to the technical field of traffic safety, in particular to a method for estimating a driver's violation risk based on a duration model. Background technique [0002] Existing detection and early warning technologies for driver violations can be roughly divided into the following two categories. [0003] (1) One is a real-time detection method based on road monitoring equipment or vehicle-mounted equipment for video shooting, collecting vehicle trajectory data, processing and analyzing the data, and then judging whether the current vehicle has violated regulations. This type of technology detects or prompts whether the current behavior of the vehicle violates the regulations, and cannot provide early warning to the driver. [0004] (2) The other type is to use the driver's historical violation location and violation type data to give the driver an early warning of the violation at a specific time and place. [0005] A driver may ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
Inventor 杨小宝张俊辉高自友孙会君郑留洋
Owner BEIJING JIAOTONG UNIV
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