A vehicle detector data repair performance analysis method considering multi-factor influence

Abstract

The application provides a vehicle detector data repair performance analysis method considering multi-factor influence, and belongs to the technical field of intelligent traffic information. The application specifically comprises the following steps: building an expressway road network model based on VISSIM traffic simulation software, and generating expressway multi-source data by using the expressway road network model; obtaining the repair value of the expressway traffic flow parameter by repairing the real value of the expressway traffic flow parameter; constructing a vehicle detector data repair performance analysis model based on a BP neural network structure, training the vehicle detector data repair performance analysis model by using the expressway multi-source data and the repair value of the expressway traffic flow parameter; and quantitatively analyzing the vehicle detector data repair performance by using the trained vehicle detector data repair performance analysis model. The application can make the vehicle detector data repair performance reach an ideal level, has guiding significance for traffic managers to arrange expressway multi-source detection equipment, and further improves the reliability of traffic data.

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