Driver-and-vehicle risk predicting method, device, medium and electronic equipment

Abstract

An embodiment of the invention relates to the field of information technology, and provides a driver-and-vehicle risk predicting method. The method comprises the steps of acquiring historical vehicleinformation, historical health information of a driver and emergent condition cases; for aiming at the emergent condition cases, acquiring corresponding historical vehicle information and historical health information, and forming a driver-and-vehicle characteristic vector; respectively extracting the corresponding driver-and-vehicle characteristic vectors for aiming at multiple emergent conditioncases, forming a characteristic matrix according to the multiple driver-and-vehicle characteristic vectors, determining a risk type according to the historical health information and the historical vehicle information, forming a target vector based on the risk type, using the characteristic matrix as an input in the classifier, and using the corresponding target vector as the output of the classifier, and performing model training for obtaining a risk predicting model; and inputting the real-time acquired vehicle information and the health information of the driver into the risk predicting model, thereby obtaining a risk predicting result. The driver-and-vehicle risk predicting method can identify a possible health risk or an emergency of the user.

Description

technical field [0001] The present disclosure relates to the field of information technology, in particular, to a method, device, medium and electronic equipment for risk prediction of people and vehicles. Background technique [0002] In recent years, with the rapid development of Internet technology, the application of the Internet of Things in people's lives has become more and more extensive, such as smart home, smart wear, Internet of Vehicles and other fields. The Internet of Vehicles (Internet of Vehicles) is a huge interactive network composed of information such as vehicle location, speed and route. Through GPS, RFID, sensors, camera image processing and other devices, the vehicle can complete the collection of its own environment and status information. [0003] However, in the technical solutions of the prior art, there is room for improvement in how to share, process and manage information under the Internet of Vehicles. [0004] It should be noted that the inf...

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Problems solved by technology

[0005] The purpose of the embodiments of the present disclosure is to provide a method, device, medium and electronic equipment for risk predi

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