Urban dynamic early warning system and method based on accident risks

Abstract

The invention discloses an urban dynamic early warning system and method based on accident risks. Position information and speed information of a vehicle are obtained through a vehicle terminal; driving state information of the vehicle, a traffic flow and road condition information are acquired and analyzed by matching a road section monitoring terminal; various parameters when an accident occurscan be accurately and comprehensively acquired; each parameter is processed through an early warning push terminal; the reason, the high-incidence road section and the accident characteristics of theaccident are obtained through analysis; and thus under certain road condition information, the vehicle running speed interval with the maximum accident occurrence proportion is obtained. After the vehicle enters the high-incidence road section, the speed information and the road condition information of the vehicle are detected in real time; and when the accident characteristics are met, early warning is pushed to remind the driver. After the reason of the accident is analyzed, the noise reduction of the data is realized by removing the accident record corresponding to the accident caused by the human factor, so that the accuracy of the relevance between the driving speed and the road condition state is improved, and the accuracy of early warning is further improved.

Description

technical field [0001] The invention relates to the field of early warning systems for traffic accidents, in particular to an urban dynamic early warning system and method based on accident risks. Background technique [0002] During the driving process of the vehicle, it is often affected by environmental factors, such as the reduction of visibility caused by rain and snow or the reduction of vehicle grip performance caused by the freezing of water on the road, which leads to the driver's lack of reaction and accidents. Often accidents can be avoided by controlling the speed of the vehicle; [0003] The patent document with the publication number CN208842326U discloses a fatigue driving state recognition and early warning system, which detects and recognizes the fatigue state of the driver, and feeds back the fatigue degree in real time, so that the driver can take measures in time, thereby providing the driver with scientific and reasonable Early warning, reducing traffic...

AI Technical Summary

Problems solved by technology

[0005] However, the above-mentioned technical solution does not analyze each road section and real-time road condition information, and only provides early warning for accidents caused by human factors, but does not provide early warning for accidents caused by environmental factors, so that in actual use, the adaptation range is small and early warning Not very accurate

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