Detection method for congested section on expressway based on multi-source traffic data fusion

Abstract

The present invention provides a detection method for a congested section on an expressway based on multi-source traffic data fusion. In the method, three kinds of traffic data including identification data of an expressway path recognition system, flow data of a toll station in a networked toll system and GPS trajectory data of long-distance and dangerous goods key vehicles are pretreated, and multi-level road network division for the road network of the expressway is performed. By using the three kinds of pretreated traffic source data and the divided road network, the data of the first level road network, the second level road network and the third level road network is matched. By using the three levels of matched data, the multi-level traffic condition of each basic section on the expressway is calculated with a hierarchical congested section detection framework. The method makes the congested section detection result more reliable, can detect the multi-level congested section distribution result, can reduce the calculation amount of the data and improves the detection speed.

Description

technical field [0001] The invention belongs to the technical field of multi-source traffic data mining, and relates to a detection method for expressway congestion intervals with multi-source traffic data fusion. Background technique [0002] With the development of my country's economy and urbanization, the connection between cities is becoming more and more close. As the lifeline between cities, the importance of expressways is self-evident. Due to many factors such as weather, road conditions and emergencies, there will also be traffic congestion problems in the expressway. In order to facilitate better supervision of the expressway, it is necessary to obtain traffic status information on the expressway, so it is necessary to use the available data to identify the traffic status on the expressway to obtain relevant information. At present, the research on expressway congestion events can be divided into two aspects: one is to define, simulate and analyze the influencing...

AI Technical Summary

Problems solved by technology

[0003] Most of the current methods use a single source of traffic data to detect expressway congestion. To detect highway congestion events, the advantages of integrating multi-source traffic data to make the detection results more reliable still need to be explored and explored

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