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Road traffic accident early warning method

A traffic accident and road traffic technology, applied in the direction of road vehicle traffic control system, traffic control system, traffic flow detection, etc.

Active Publication Date: 2017-02-22
JIANGSU ZHITONG TRANSPORTATION TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Realize the goal of preventing traffic accidents before they happen, quickly deal with them after they happen, and deal with them objectively, and solve the problem of how to conduct multi-dimensional and differentiated analysis of drivers’ driving in combination with environmental factors such as the location and time of accidents, so as to take targeted measures

Method used

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Embodiment

[0075] The data analysis process done in the method of embodiment mainly uses EXCEL and IBM SPSS Statistics22.0 statistical analysis software. It involves basic processing methods such as screening, comparison, pivot table of EXCEL and χ in SPSS 2 Data statistical analysis methods such as test, cluster analysis, Spearman rank correlation test, curve estimation, decision tree model, etc.;

[0076] Such as figure 1 As shown, a road traffic accident early warning method, the method includes the following steps.

[0077] S1. Link the traffic accident data information table and the traffic violation data information table through the driver's identity information. The feature vector of the traffic violation data is As=[A, H], where A is the identity information of the offender, and H is the illegal content of the offender. The feature vector of the traffic accident data is CS=[C, K, V], where C is the accident information, including the accident type, time, place, and weather, an...

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Abstract

The invention provides a road traffic accident early warning method. Traffic accident data and traffic violation data are connected through driver identity information; traffic accident high-risk personnel decision tree judgment is performed through traffic accident personnel characteristic analysis so that accident high-risk personnel and the occurred accident types are obtained; environment variable characteristic analysis is performed so that a road type and processing grade table can be obtained, and the accident high-risk time, weather and vehicle color rules can be obtained; and the obtained accident high-risk personnel and the occurred accident types are corresponding to the accident high-risk environment variables, targeted driving prompting is performed through combination of the driver characteristics and the environmental conditions, and accident early warning is also performed. According to the method, the accident high-risk drivers and the accident high-risk road segments are combined, and the influence of time, weather and other environmental factors is added so that the objectives that the accident high-risk drivers can be judged, the occurred accident types of the drivers can be judged, the high-risk accident road segments are corresponding to the specific driver types, and the accident personnel, the accident types and the accident road segments are organically combined can be achieved.

Description

technical field [0001] The invention relates to a road traffic accident early warning method. Background technique [0002] Transportation is the foundation of urban economic development, the most active factor in economic and social activities, and is closely related to the lives of residents; with the rapid development of economy and society, the rapid advancement of urbanization and the rapid development of motorization, the demand for road traffic has increased significantly , the problem of road traffic safety is becoming more and more prominent; therefore, it is urgent to analyze the causes of traffic accidents based on traffic big data mining, predict the population with high accidents, the location, time, and weather of accidents; Fast-track, deal with objective goals; [0003] At present, researches on the analysis of the causes of traffic accidents have different observation angles, focus objects, and research methods, but in general, they analyze the causes of ac...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26G08G1/0129
Inventor 陈凝吕伟韬李攀张韦华马党生
Owner JIANGSU ZHITONG TRANSPORTATION TECH
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