Method for actively identifying accident based on Internet-of-vehicles

Abstract

A method for actively recognizing an accident based on the Internet-of-vehicles comprises the following steps that S1, installing Internet-of-vehicles hardware equipment on a vehicle and comprises anADAS and a DSM; S2, establishing an Internet-of-vehicles data acquisition and processing platform to realize real-time acquisition and processing of Internet-of-vehicles data; S3, mining and analyzingthe Internet-of-vehicles data by utilizing a data mining technology, extracting characteristic factors, constructing an expert scoring model based on industry knowledge, training a machine learning model based on historical accident data, and finally combining to obtain an accident identification model; S4, carrying out the active recognition of an accident based on the accident recognition model; and S5, acquiring the Internet-of-vehicles data of the accident. The Internet-of-vehicles data are mined and analyzed by constructing the accident recognition model, active recognition of vehicle accidents is achieved, accidents are known at the first time, rescue and safety management are facilitated, the accident data collected by the equipment serve as vehicle accident evidences, collection of the accident evidences is facilitated, Insurance companies are also facilitated for insurance anti-fraud, and the use effect is excellent.

Description

technical field [0001] The invention relates to the technical field of accident identification, in particular to a method for actively identifying accidents based on Internet of Vehicles. Background technique [0002] A traffic accident refers to an event in which a vehicle on the road causes personal injury or death or property damage due to fault or accident. Resisted natural disasters; [0003] When the vehicle is running, due to the influence of the driver, vehicle condition, road condition and other factors, it is very easy to have a traffic accident. Knowing the occurrence of the accident at the first time is of great significance to road rescue, traffic control, insurance claims, etc.; Knowing the occurrence of an accident requires on-site personnel to actively report it. From a software perspective, this method is inconvenient for accident registration, and the authenticity of the accident is also uncontrollable. Contents of the invention [0004] (1) Purpose of ...

AI Technical Summary

Problems solved by technology

[0003] When the vehicle is running, due to the influence of the driver, vehicle condition, road condition and other factors, it is very easy to have a traffic accident. Knowing the occurrence of the accident at the first time is of great significance to road rescue, traffic control, insurance claims, etc.; Knowing the occurrence of an accident requires the on-site personnel to actively report it. From the software point of view, this method is inconvenient for accident registration, and the authenticity of the accident is also uncontrollable.

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