Road network processing method and device and storage medium

Abstract

The invention discloses a road network processing method and device and a storage medium, and the method comprises the steps: obtaining the data of each road network index in a preset time range of each observation station, wherein one observation station is corresponding to one highway section; performing standardization processing on the data of each path of network index to obtain normalized data corresponding to each path of network index; determining the weight of each network index in each observation station based on an entropy method and the normalized data; and determining the traffic efficiency score of the highway section corresponding to each network index according to the normalized data of each network index and the weight of each network index. As the entropy value and the weight value of each road network index depend on the sample distribution of the road network indexes, the influence factor of each road network index on the traffic efficiency can be determined based on the implementation process, so the traffic efficiency score of the corresponding highway section can be accurately determined, and a scientific decision-making basis is timely and quickly provided for related traffic competent departments.

Description

technical field [0001] The embodiments of the present application relate to the field of data processing, and in particular, to a road network processing method, device, and storage medium. Background technique [0002] During the holidays, the passenger flow of highways (expressways), railways, aviation, ports and other transportation hubs all showed a substantial increase, resulting in a synchronous increase in the traffic flow of expressways in various places, which brought great challenges to the guidance and management of traffic management departments in various places. pressure. Therefore, it is necessary to analyze the performance of the road section in combination with the congestion situation and the traffic flow situation, and scientifically support the traffic management department's decision-making on the infrastructure of the expressway. At present, traffic authorities are still at the stage of manually counting traffic flow and objectively investigating conge...

AI Technical Summary

Problems solved by technology

At present, traffic authorities are still at the stage of artificially counting traffic flow and objectively investigating congested road sections on the existing expressway traffic efficiency, and cannot support the decision-making of traffic authorities in a timely, scientific and rapid manner.

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