Traffic high-risk personnel key monitoring object identification method and intelligent decision system

A technology for object recognition and traffic, 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 goals of improving pertinence, saving input costs, and improving work efficiency Effect

Active Publication Date: 2019-01-29
JIANGSU ZHITONG TRANSPORTATION TECH
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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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  • Traffic high-risk personnel key monitoring object identification method and intelligent decision system
  • Traffic high-risk personnel key monitoring object identification method and intelligent decision system

Examples

Experimental program
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Effect test

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 traffic high-risk personnel key monitoring object identification method and intelligent decision system. The risk degree of traffic participants is predicted; the start and end time of the sample accumulation stage and the time window length of the observation period are determined; full sample classification is performed on the obtained risk degree prediction result within the interval and observation samples are generated; the traffic accident occurrence time of the observation samples in the corresponding observation period is collected; and the final analysis samples are generated for survival analysis to identify the minimum analysis sample value of which the cumulative survival rate decline value exceeds the threshold value, and the corresponding sample selection method is used as the key observation target determination method of the traffic high-risk personnel within the continuous observation time limit or the process is ended. The key focus target object is identified from the traffic high-risk personnel group through the data analysis means so as to provide data support and decision support for the implementation of traffic safety pre-control measures such as targeted traffic participant behavior tracking, traffic safety source management and the like.

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 Applications(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
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