Similarity Measuring Method for Road Section Traffic Operation

Abstract

The invention discloses a road segment traffic circulation similarity measure method for a road network. Traffic circulation parameter time series of road segments in the road network are utilized in the method. Firstly, the time series are reconstructed and converted to a vector of a non-missing value, a subscript vector of a missing value, a length vector of the non-missing value and a length vector of the missing value; secondly, the time series are cut off so that the cutoff time series are identical in length; finally, similarity of the cutoff time series is calculated. According to the method, a result can still be obtained on the condition that a part of data are missed, and reliability is high.

Description

technical field [0001] The invention relates to a method for measuring the similarity of road section traffic operation in urban traffic management, in particular to a method for measuring the similarity of road section traffic operation by using road section traffic operation time series data. Background technique [0002] As the traffic congestion in our country's cities is becoming more and more serious, identifying the cause of traffic congestion is of great significance to traffic management. Traffic congestion is a traffic phenomenon within a certain space-time range, which will be reflected in the time series of traffic operation parameters (typically such as speed time series) of the connection line covered by traffic congestion, so that traffic congestion can be identified by using time series similarity measurement technology is a viable method. However, because there are often missing values ​​in the traffic operation time series, the general time series similari...

AI Technical Summary

Problems solved by technology

However, because there are often missing values ​​in the traffic operation time series, the general time series similarity measurement method cannot be applied

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