Road management decision system

Abstract

The invention provides a road management decision system which comprises a data management subsystem, a GIS platform and a road decision system. The data management subsystem is used for acquiring spatial data and attribute data of the road and performs storage. The GIS platform is used for fusing the spatial data with the attribute data and matching the fused data with map data. The road decision system analyzes the received data processed by the GIS platform through a neural network simulating model and generates an analysis report based on an analysis result. Based on road true information, a road management decision system supported by a plurality of kinds of data is constructed. Furthermore a road database performs analysis in a data organizing manner, thereby facilitating road maintenance decision. Furthermore through restriction of preset budget fund and other resources, an optimal maintenance strategy is searched so that benefit is maximized.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a road management decision system. Background technique [0002] The traffic volume of expressways has gradually increased in recent years. With the overload operation of expressways, it directly leads to the increasing number of road diseases and brings great pressure to road maintenance. The contradiction between the traditional management methods adopted by the expressway maintenance management department in actual work and the current large-scale maintenance demand is becoming increasingly acute, which is mainly reflected in the rapid increase of road maintenance management data. [0003] However, the traditional paper-based file management mode is very inconvenient when querying and retrieving relevant data. For a long time, the relevant departments of maintenance management have not formulated a set of scientific detection, evaluation and decision-making methods, but only ba...

AI Technical Summary

Problems solved by technology

Due to the instability of experience values ​​and the lack of objective quantitative data on road damage, the maintenance plan is unrealistic, which wastes maintenance funds, resulting in a decline in road performance and an increase in road maintenance costs

In particular, there is not enough historical testing data, and the prediction of the maintenance demand across the year is not accurate, resulting in the limited maintenance funds not being able to maximize the maintenance benefits

The consequence is that it affects the smooth flow of roads, threatens the safety of road transportation, and restricts the rapid development of my country's economy.

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