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An automatic early warning method and automatic early warning system for dangerous driving behavior of vehicles

An automatic early warning and vehicle technology, applied in the field of vehicle safety management, can solve problems such as dynamic ambiguity, strong randomness of vehicle motion state data, quantitative expression of driver's individual characteristics, etc., to achieve reliable analysis and prediction, and reduce road traffic The effect of traffic accidents

Active Publication Date: 2021-11-02
SHENZHEN POLYTECHNIC
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AI Technical Summary

Problems solved by technology

[0007] The difficulty of automatic identification and automatic prediction of vehicle dangerous driving behavior based on real-time monitored vehicle motion state data lies in: on the one hand, the driver itself has very complex influencing factors, and it is difficult to accurately quantitatively express the driver’s behavior. Personalized characteristics, on the other hand, different devices and different data collection frequencies lead to strong randomness and dynamic fuzzy characteristics in the output vehicle motion state data itself

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  • An automatic early warning method and automatic early warning system for dangerous driving behavior of vehicles
  • An automatic early warning method and automatic early warning system for dangerous driving behavior of vehicles
  • An automatic early warning method and automatic early warning system for dangerous driving behavior of vehicles

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Embodiment Construction

[0043] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0044] Facing the safety supervision requirements of future unmanned vehicles, the present invention introduces cloud model theory to combine vehicle driving posture data with passengers' subjective feelings, and designs an automatic warning method for dangerous driving behavior based on cloud model-Elman neural network.

[0045] Such as figure 1 As shown, the present invention designs a vehicle motion state data collection and processing system to realize real-time collection and processing of vehicle six-degree-of-freedom motion attitude data and vehicle motion speed and other parameters. Secondly, a cloud model for automatic identification of vehicle dangerous driving behavior corresponding to the vehicle motion state is established by combining the international and domestic standards of passengers' perception of vehicle motion and expert ...

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Abstract

The present invention provides an automatic early warning method and an automatic early warning system for dangerous driving behaviors of vehicles. The automatic early warning method of the present invention includes the following steps: constructing an automatic discrimination cloud model for dangerous driving behaviors of vehicles; Prediction cloud model-Elman neural network; real-time collection and storage of vehicle motion attitude data; use the measured data to train the automatic prediction cloud model-Elman neural network to obtain automatic early warning cloud model-Elman neural network that meets the accuracy requirements; based on automatic early warning cloud Model-Elman neural network for automatic warning. The invention can accurately, quickly and reliably analyze and predict the dangerous driving behavior of the vehicle, realize active early warning of the dangerous driving behavior of the vehicle, and effectively reduce road traffic accidents.

Description

technical field [0001] The invention relates to the field of vehicle safety management, in particular to an automatic early warning method for dangerous driving behavior of vehicles, and also relates to an automatic early warning system for realizing the automatic early warning method for dangerous driving behavior of vehicles. Background technique [0002] The dangerous driving behavior of vehicles is the main factor leading to road traffic accidents. How to quickly, accurately and reliably predict dangerous driving behavior has always been one of the difficult problems in the field of vehicle safety management. The dangerous driving behavior of vehicles mainly refers to the characterization of states that affect lane safety and stability, vehicle relative distance control safety, vehicle speed / direction control stability, etc. Typical dangerous driving behaviors include vehicles following too closely, speeding, rapid acceleration, rapid deceleration, sharp turns, frequent ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W40/09B60W50/14G06N3/04G06N3/08
CPCB60W40/09B60W50/14G06N3/08G06N3/045
Inventor 向怀坤曾松
Owner SHENZHEN POLYTECHNIC
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