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Traffic accident identification method and system

A traffic accident and recognition method technology, applied in the field of Internet of Vehicles, can solve problems such as low recognition accuracy and complex calculations

Active Publication Date: 2018-11-23
上海赢科信息技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a method and system for identifying traffic accidents in order to overcome the defects of low recognition accuracy and complicated calculation in the traffic accident identification method in the prior art

Method used

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  • Traffic accident identification method and system
  • Traffic accident identification method and system

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Embodiment 1

[0115] The identification method of the traffic accident of the present embodiment is based on the driving data collected by the driving recorder and various sensors, and adopts a combination of multiple models (including ARIMA model, RNN model and wavelet transform model) to analyze the vehicle in the high-speed running state and Accidents caused under the low-speed running state are identified, and the result of the combination of the two provides a judgment on whether different types of accidents have occurred in a section of travel, and the accuracy is greatly improved. The identification method of this embodiment includes the following steps:

[0116] Obtain the first time series of driving data for a period of time, and input the driving parameter prediction model;

[0117] The driving parameter prediction model predicts driving parameters according to the first time series;

[0118] Whether a traffic accident occurs and / or the type of the traffic accident is judged acco...

Embodiment 2

[0181] Such as Figure 5 As shown, the traffic accident identification system of this embodiment includes: a data acquisition module 1 , a driving parameter prediction model 2 and a judgment module 3 . The data acquisition module is used to acquire the first time series of driving data for a period of time, and input the driving parameter prediction model. The driving parameter prediction model is used to predict the driving parameters according to the first time series. The judging module is used to judge whether a traffic accident occurs and / or the type of the traffic accident according to the driving parameters.

[0182] Among them, the driving data includes the following parameters: vehicle speed, steering wheel angle, accelerator pedal opening and closing degree, brake pedal opening and closing degree, and engine speed; driving parameters include: vehicle speed and steering wheel angle.

[0183] In this embodiment, the driving parameter prediction model includes an ARIM...

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Abstract

The invention discloses a traffic accident identification method and system; the identification method comprises the following steps: obtaining a first time sequence of traffic data in a period, and inputting same to a traffic parameter prediction model; enabling the traffic parameter prediction model to predict traffic parameters according to the first time sequence; determining whether or not atraffic accident has happened and / or the traffic accident type according to the traffic parameters. The method can determine and identify the traffic accidents according to the traffic data acquired by car data recorders and various types of sensors. Compared with the prior art, the method uses a massive data and machine learning method to improve the determination identification efficiency and accuracy; the method is more suitable for real time calculation.

Description

technical field [0001] The invention relates to the technical field of Internet of Vehicles, in particular to a method and system for identifying traffic accidents. Background technique [0002] When a traffic accident occurs to a vehicle, different types of traffic accidents require different insurance services, and how to avoid insurance fraud is also a long-term discussion topic. The key to solving the above two problems is to identify the occurrence of traffic accidents and the type of traffic accidents in a timely and accurate manner. [0003] In the prior art, commonly used traffic accident identification methods are: GPS (Global Positioning System) data analysis method and image recognition method. [0004] The GPS data analysis method uses GPS data to analyze the vehicle's driving speed and direction, and judges the occurrence of traffic accidents by identifying abnormal points in the data. The limitation of this method is that the accuracy and integrity of GPS dat...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06Q10/04
CPCG06Q10/04G08G1/0133
Inventor 张伟杨治
Owner 上海赢科信息技术有限公司
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