Calculation method of traffic event duration based on traffic scene radar

Abstract

The invention belongs to the technical field of city expressway traffic management, and particularly relates to a traffic event duration time calculation method based on traffic scene radar. The method comprises the following steps of installing the traffic scene radar in an expressway region to be tested, and debugging and setting a detection range; using the traffic scene radar to obtain positioning data of moving vehicles in the detection region; calculating the running speed of the single moving vehicle in the detection region at one time interval; calculating the average running speed at each road section in the detection region at one time interval; adopting a threshold method for judging the traffic event; calculating the duration of the traffic event. The method has the advantages that the current traffic event duration can be fast obtained, so that a traffic manager can reasonably define the traffic flow division position of the current jamming road, so that the goals of avoiding the occurrence of secondary accidents and traffic jamming and reducing the influence of accidents and the running delay can be achieved, and the event dealing decision level of the traffic manager and the intellectualization level are improved.

Description

technical field [0001] The invention belongs to the technical field of urban expressway traffic management, in particular to a method for calculating the duration of traffic events based on traffic scene radar. Background technique [0002] The expressway bears nearly 50% of the traffic burden in the urban road system. It has the characteristics of fast speed, closed type, and single traffic wave propagation path. Therefore, once a traffic incident occurs on the expressway, it will cause a certain section of the expressway or even the entire expressway. The roads are congested and paralyzed, and the traffic in the whole city is paralyzed. Since the expressway is closed, when a traffic incident occurs, a build-up wave will be generated and spread to the upstream section, causing the vehicle queue to continue to extend and affect other entrance ramps upstream, which will seriously affect the traffic status of the relevant roads, thereby intensifying urban road congestion . ...

AI Technical Summary

Problems solved by technology

At present, commonly used detection equipment includes video detection, microwave detection, coil detection, and geomagnetic detection, but these detection methods have various disadvantages in practical applications.

For example, video detection is greatly disturbed by light, microwave detection has a long response time, coil detection will damage the road surface, geomagnetic detection is affected by wireless communication, and data is often lost, etc.

In addition, for the current development direction of urban traffic, simply judging whether the road is in a congested state as above can no longer meet the needs of traffic management, what is more needed is to be able to solve the current road congestion problem

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