Road network brittleness evaluation method based on anomaly detection

Abstract

The invention provides an urban road network brittleness evaluation method based on anomaly detection. The urban road network brittleness evaluation method comprises the following steps: A, identifying abnormal edges in an urban road network based on anomaly detection; b, proposing a road network brittleness evaluation method based on an abnormal index; c, proposing a road network brittleness evaluation method based on the abnormal region; and D, analyzing evolution characteristics of urban road network brittleness. According to the method, the road network brittleness evaluation method basedon anomaly detection is constructed by utilizing actual road network operation data, and a decision maker can intuitively analyze an anomaly generation period, a propagation period and a recovery period, so that a reasonable adjustment and control opportunity is selected; according to the geographical distribution condition of the abnormal area, key area adjustment and control are carried out preferentially; frequently-occurring abnormal road sections are excavated, road section level prevention and control and dispersion measures are provided, and therefore harm caused by road network brittleness is avoided or reduced; the method has the advantages of real-time performance, systematicness, easiness in research and judgment, wide application and the like.

Description

technical field [0001] The invention proposes a road network brittleness evaluation method based on anomaly detection, which relates to a road network brittleness evaluation method based on anomaly detection, and belongs to the cross technical field of reliability and traffic science. Background technique [0002] With the continuous increase of car ownership, there is a serious imbalance between the supply of transportation resources and travel demand, and the problem of road congestion is increasing day by day. Taking Beijing as an example, at present, more than 90% of road sections in the road network are saturated or supersaturated during morning and evening peak hours; the average load of the road network has reached 70%, and the arterial road system exceeds 90%. Under the condition that the road network itself is already very tense, external disturbances such as natural disasters and traffic accidents will have a great impact on the road network. The current frequent ...

AI Technical Summary

Problems solved by technology

The current frequent traffic problems, complex road network structure and other factors make the

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