Traffic anomaly probability assessment method for adjacent edge equipment nodes of highway

Abstract

The invention provides a traffic anomaly probability assessment method for adjacent edge equipment nodes of a highway, and relates to the technical field of intelligent traffic and cloud computing. The method comprises steps of enabling a cloud server to extract a traffic flow counting result from a highway traffic flow time sequence library, and calculate the traffic flow average arrival time of adjacent edge equipment nodes based on the morphological similarity distance; generating a traffic flow difference time sequence of adjacent edge equipment nodes of the expressway; using an ADF-based expressway adjacent edge device node traffic flow difference time sequence stability test method to test whether the traffic flow difference time sequence of two adjacent edge device nodes with the difference of average arrival time is stable; and finally, according to the stationarity of the traffic flow difference time sequence of the adjacent edge equipment nodes, determining the traffic abnormal condition of the adjacent edge equipment nodes of the expressway. According to the method, the mutual influence and interaction between the traffic abnormality and the traffic flow are fully considered, and the accuracy of highway traffic abnormality judgment is improved.

Description

technical field [0001] The invention relates to the technical fields of intelligent transportation and cloud computing, in particular to a method for evaluating the probability of traffic abnormality of adjacent edge equipment nodes of an expressway. Background technique [0002] With the construction and development of expressways, the number of private cars and buses on the roads has increased rapidly, and traffic congestion, vehicle collisions and other abnormal traffic problems have become more and more serious. The basic characteristics of traffic anomalies on expressways in my country mainly include: [0003] (1) Highway traffic accidents are serious and there are many vicious accidents. The speed of vehicles on the expressway is 60-120 km / h. If the speed of the vehicle is too fast, when a vehicle collides, the impact and destructive force will be large, which will easily cause damage to the vehicle and components, and most of them are vicious accidents. [0004] (2)...

AI Technical Summary

Problems solved by technology

The speed of vehicles on the expressway is 60-120 km / h. If the speed of the vehicle is too fast, when a vehicle collides, the impact and destructive force will be large, which will easily cause damage to the vehicle and components, and most of them are vicious accidents.

[0004] (2) There are many abnormal traffic incidents at night

The light at night on the expressway is dark, and the driver's surrounding vision conditions are quite different from those in the daytime when driving the vehicle, which is likely to cause blurred vision, greatly increasing the risk of driving, and the probability of abnormal traffic events is relatively high

At the same time, when driving at night, the driver is prone to fatigue driving, which is also likely to cause traffic abnormalities

[0005] (3) Abnormal weather and traffic abnormal events are more

At present, many scholars use edge computing equipment to analyze the traffic anomalies of expressways, but previous studies on traffic anomalies of expressways have ignored the mutual influence and interaction between traffic anomalies and traffic flow, resulting in unsatisfactory results.

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