A network-level road maintenance management decision-making system

Abstract

The invention discloses a network-level road maintenance management decision-making system, which comprises a data management subsystem, a road section sorting platform and a network-level road surface decision-making system, wherein the data management subsystem is used for acquiring and storing spatial data and attribute data of a road; and performing statistical analysis based on each highway,and generating an analysis report and a statistical report based on an analysis result. According to the method, the weight of each influence factor is calculated by adopting an analytic hierarchy process. Wherein each influence factor of the network-level decision comprises road surface performance, road surface structural strength, road surface structural materials, traffic axle loads, road ages, road levels and the like; On the basis of real road information, a road management decision-making system supported by multiple kinds of data is constructed, and a road database is analyzed in a data organization mode, so that maintenance decision making of a road is facilitated; and furthermore, an optimal maintenance strategy can be sought under the constraint of specified budget funds and other resources, so that the benefit target is maximized.

Description

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AI Technical Summary

Benefits of technology

This patented technology describes an improved way to manage roads more efficiently during their lifecycle. It involves analyzing factors like paving quality or durability (pavements) along different parts of the route's surface before it becomes worn out over time. Based upon these assessments, we propose assigning weights to specific areas within those surfaces called placement zones where they are needed most often. These weights help us estimate how well this area needs repair after being used repeatedly without getting damaged due to wearout. Additionally, our proposed solution suggests optimally selecting suitable road maintenance actions depending on various environmental conditions such as water level, temperature, snowfall levels, rain fall amounts, weather forecasts, and road construction schedules. Overall, this innovation improves efficiency and effectiveness in managing urban infrastructure networks while ensuring safety standards comply.

Problems solved by technology

This patented describes two main issues with managing highway networks: one relates to insufficient fundings allocated during peak hours or longer periods due to limitations associated with existing systems used for monitoring and analyzing road health indicators such as weariness levels and cracks; another issue involves predictive assessment and determination of repair schedules without considering past environmental impact measures like paving capacity.

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