Automatic detection method for traffic accident on urban expressway based on non-continuous sliding sequence

A technology for automatic detection of traffic accidents, applied in traffic control systems of road vehicles, traffic control systems, instruments, etc., can solve the problems of image recognition algorithms that have a large impact on weather, difficult to correct, and difficult to implement catastrophe theory, and achieve short detection time , low false alarm rate and high accident detection rate

Active Publication Date: 2009-11-25
同济创新创业控股有限公司
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Problems solved by technology

However, each has its own limitations: the state recognition method requires empirically calibrated index thresholds, but it is difficult to correct in the later stages of use; catastrophe theory is difficult to implement on urban expressways with complex traffic flow characteristics; both mathematical statistics and artificial intelligence require a large number of detailed Learning from accident samples; image recognition algorithms are greatly affected by weather

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  • Automatic detection method for traffic accident on urban expressway based on non-continuous sliding sequence
  • Automatic detection method for traffic accident on urban expressway based on non-continuous sliding sequence
  • Automatic detection method for traffic accident on urban expressway based on non-continuous sliding sequence

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the embodiments shown in the accompanying drawings.

[0035] The research shows that the time-average occupancy rate data with a step length of 20 seconds has large fluctuations, and it is difficult to be directly applied to the automatic accident detection algorithm. If the time-average occupancy data sequence with a step length of 1 minute is used, it has the best sudden change under accidents, but the detection cycle is extended from 20 seconds to 1 minute; while the sliding 1-minute occupancy sequence with a sliding interval of 20 seconds It has the best non-accident stability, but the sudden change under accident is not obvious enough. The non-continuous sliding 1-minute occupancy sequence takes the minimum period of data acquisition as the sliding interval of 20s, combines the advantages of the above two data sequences, and its construction method is as follows:

[0036] if ...

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Abstract

The invention provides an automatic detection method for traffic accident on urban expressway based on non-continuous sliding sequence, which collects real time traffic flow information through a detection system and an earth coil; whether a traffic accident happens is judged according to the obtained average time occupancy data with process using a non-continuous sliding one-minute occupancy sequence. If an accident happens, the alarm sends out for announcing the traffic management department to take corresponding measures for the accident, otherwise the data is continued to be collected for detection. The method provided by the invention has the advantages of high detection rate for detection, low false alarm rate, short testing time, selected index with clear meaning, and is suitable for realizing engineering.

Description

technical field [0001] The invention relates to an automatic detection method for traffic accidents on urban expressways, specifically an automatic detection method for traffic accidents on urban expressways based on a non-continuous sliding 1-minute occupancy sequence, which can be used to automatically detect whether there are traffic accidents on urban expressways in real time. Detection involves traffic intelligent management and control technology. Background technique [0002] A traffic accident refers to an emergency that lasts for a period of time, leads to a reduction in road capacity, and has a significant impact on the background traffic flow. As the skeleton of urban road traffic network, urban expressway plays a huge role. The impact of unexpected traffic accidents on urban expressways is not only reflected in the threat to the safety of people and vehicles, but more importantly, it will cause serious traffic congestion bottlenecks, which will lead to a decreas...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/042
Inventor 杜豫川孙立军蔡晓禹汤震
Owner 同济创新创业控股有限公司
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