A method for detecting abnormal driving behavior of the driver of the lead vehicle in formation driving
A technology of abnormal driving and detection method, which is applied in the direction of driver input parameters, vehicle components, control devices, etc., can solve the problem of incomplete behavior characteristics, etc., and achieve the effect of strong practicability, improved accuracy and scalability
Active Publication Date: 2021-09-03
TONGJI UNIV
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Problems solved by technology
The driver of the front vehicle in the vehicle platoon bears greater responsibility for traffic safety, and the behavior characteristics of driving alone are not exactly the same, so the abnormal behavior detection method for single-vehicle drivers cannot be directly applied to the driving environment of the vehicle platoon
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[0043] This application proposes a method for detecting abnormal driving behavior of the driver of the lead vehicle in formation driving. The method is based on statistical analysis and machine learning algorithms, and obtains abnormal driving characteristics by analyzing the driving behavior samples of the driver of the lead vehicle in a typical dangerous driving scene in formation driving of vehicles. And train the corresponding abnormal driving behavior discrimination model to realize the abnormal behavior detection of the driver of the leading car. In this embodiment, vehicle formation driving (hereinafter referred to as vehicle formation) means that a number of vehicles behind are led by a leading vehicle to drive on a closed expressway, such as figure 1shown. The lead car is driven by the driver, and the other vehicles in the vehicle queue are all unmanned vehicles, and follow the lead car in turn. Each vehicle in the vehicle queue can perceive the vehicle's own status,...
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The present invention relates to a method for detecting the abnormal driving behavior of the driver of the lead vehicle in vehicle formation driving, comprising: 1. Acquiring a driving behavior sample of the driver of the lead vehicle in a typical dangerous scene of the vehicle formation; 2. Extracting the driving behavior sample of the driver of the lead vehicle from the driving behavior samples of the driver of the lead vehicle Characteristic factors of driver’s abnormal driving behavior; 3. Establish a vehicle platoon dangerous driving scene recognition model, a leading vehicle driver’s driving intention recognition model, and a leading vehicle driver’s abnormal driving behavior discrimination model; 4. Obtain the required information during the actual vehicle formation driving , identify the dangerous state of the vehicle platoon, and use the abnormal driving behavior discrimination model of the leading driver to detect the abnormal driving behavior of the leading driver. Compared with the prior art, the present invention recognizes driving scenes and driving intentions before identifying abnormal driving behaviors, trains different abnormal behavior discrimination models for specific driving scenes and driving intentions, and improves the abnormality of the driver of the lead vehicle in formation driving. Accuracy of behavioral detection methods.
Description
technical field [0001] The invention relates to the field of automobile active safety, in particular to a method for detecting abnormal driving behavior of a driver of a leading vehicle in formation driving. Background technique [0002] Driver abnormal driving behavior recognition is an important research content in the field of automotive active safety. Accurately identifying driver abnormal behavior and applying appropriate intervention measures can significantly improve driving safety. With the development of automotive sensors and the advancement of data processing technology, it is convenient to obtain a large number of driver behavior samples for analysis and research. This makes it possible to use machine learning and data mining algorithms to analyze and identify abnormal driving behaviors of drivers. These data-driven algorithms have the advantages of self-learning and easy expansion, and have become a research hotspot in this field. [0003] The research on vehic...
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IPC IPC(8): B60W40/09B60W50/00
CPCB60W40/09B60W50/00B60W2050/0029B60W2510/182B60W2510/205B60W2520/10B60W2520/105B60W2520/12B60W2520/125B60W2540/18
Inventor 赵治国冯建翔王凯胡昊锐
Owner TONGJI UNIV