Recognition method for safe driving of expressway vehicles based on time-history features

Abstract

The invention discloses a method for identifying safe driving of expressway vehicles based on time course features, which includes: establishing a node set for analyzing time course feature data of expressway vehicles, the node set is composed of several nodes; The moment value of the node, calculate the value of the continuous driving time of the vehicle in each continuous driving section and the value of the rest time of the vehicle in each parking area; Identify data to determine whether there is driver replacement in each parking area; combine the value of the continuous driving time of the vehicle in each continuous driving section, the value of the rest time of the vehicle in each parking area, and whether the vehicle is driving in each parking area According to the situation of driver turnover, it is judged whether the driver of the vehicle is fatigue driving. The method of the invention can effectively and accurately identify whether there are dangerous driving behaviors such as fatigue driving and overspeed driving in the passing vehicles on the expressway.

Description

technical field [0001] The invention relates to a method for recognizing safe driving of expressway vehicles, in particular to a method for recognizing safe driving of expressway vehicles based on time course characteristics, belonging to the field of expressway safety management. Background technique [0002] With the expansion of highway network and the sharp increase of traffic volume, the safety management problem involving huge traffic volume has become one of the key issues to be solved urgently by the highway and traffic safety management departments, especially for the fatigue driving of vehicle drivers There is no effective calculation and analysis method for the identification of dangerous behaviors such as driving, speeding, etc., so that it is difficult to provide strong quantitative data support for relevant regulatory authorities to strengthen safety management. For this reason, the current relevant regulatory authorities can only guide and restrict drivers to ...

AI Technical Summary

Problems solved by technology

[0003] 1) The complex characteristics of high-speed traffic and traffic flow determine that there are many potential safety hazards on expressways, especially for passenger vehicles and freight vehicles, whose main purpose is business, and completing transportation tasks in the shortest time is the key to increasing their operating income The industry attribute largely determines the characteristics of high-intensity operation of vehicles, and the current safety management and supervision measures are all passive control methods, and their actual effects are very weak;

[0004] 2) There is a lack of quantitative and restrictive indicators in this type of treatment measures, especially how to distinguish drivers' fatigue driving and speeding during actual vehicle travel, resulting in weak supervision and lack of convincing force;

Therefore, it is not difficult to find that these detection devices are still not comprehensive enough to monitor and capture the speeding behavior of vehicles.

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