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Identification method and intelligent decision-making system for key monitoring objects of traffic high-risk personnel

An object recognition and traffic technology, applied in traffic control systems, road vehicle traffic control systems, traffic flow detection, etc., can solve problems such as lack of methods or systems, and achieve the goal of improving pertinence, improving work efficiency, and saving input costs. Effect

Active Publication Date: 2021-05-28
JIANGSU ZHITONG TRANSPORTATION TECH
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

There is currently no method or system that can meet the above requirements

Method used

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  • Identification method and intelligent decision-making system for key monitoring objects of traffic high-risk personnel
  • Identification method and intelligent decision-making system for key monitoring objects of traffic high-risk personnel

Examples

Experimental program
Comparison scheme
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Embodiment

[0027] A method for identifying key monitoring objects of traffic high-risk personnel, such as figure 1 ,Specific steps are as follows:

[0028] S1. Obtain the traffic behavior data of the traffic participants, and according to the prediction time interval τ, obtain the risk prediction result of the personnel from the traffic participant risk prediction model.

[0029] S2. Determine the start and end time of the sample accumulation stage [t s ,t e ], where t s , t e Respectively, the start and end time of sample accumulation, and the length of the time window of the observation period TM.

[0030] Embodiment According to the traffic violation data and traffic accident data in a certain place, a risk prediction model based on random forest is constructed, with January 2015 as the starting time and June of the same year as the ending time, and the driving data of each month in this period is obtained. Human risk prediction results; observation period time window TM = 12 mon...

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Abstract

The invention provides a method for identifying key monitoring objects of high-risk traffic personnel and an intelligent decision-making system to predict the risk of traffic participants; determine the start and end time of the sample accumulation stage and the length of the time window of the observation period; and predict the obtained risk within the interval The results are classified into full samples, and observation samples are generated; the traffic accident occurrence time of the observation samples in the corresponding observation period is collected; the final analysis samples are generated, survival analysis is performed, and the minimum analysis sample value whose cumulative survival rate drop exceeds the threshold is identified. Use the corresponding sample selection method as the key observation target determination method for traffic high-risk personnel within the continuous observation time limit or end this process. The present invention uses data analysis means to identify focused targets from traffic high-risk groups, and provides data support and decision-making support for the implementation of traffic safety pre-control measures such as targeted traffic participant behavior tracking and traffic safety source management.

Description

technical field [0001] The invention relates to a method for identifying key monitoring objects of traffic high-risk personnel and an intelligent decision-making system. Background technique [0002] Traffic safety has always been one of the key points of traffic engineering and management, but the current situation of road traffic safety is still severe. From the perspective of traffic management, increasing the inspection and disposal of traffic violations has played a significant role in restraining drivers' behavior and regulating traffic order, thereby preventing or curbing the occurrence of traffic accidents. Statistics show that 90% of traffic accidents are caused by human factors; among human factors, except for a small amount of unconscious dangerous driving behaviors, 82% are conscious dangerous driving behaviors caused by drivers' luck. Obviously, it is difficult to change the passive situation of traffic safety governance simply by relying on illegal investigati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0125G08G1/0137
Inventor 刘林陈凝吕伟韬张韦华
Owner JIANGSU ZHITONG TRANSPORTATION TECH