Method for predicting pavement performance on basis of transport durations and traffic volumes

Abstract

The invention provides a method for predicting pavement performance on the basis of transport durations and traffic volumes. The method includes selecting local road segments as test sections; selecting random detection time; selecting appropriate detection indexes and corresponding equipment; selecting reasonable detection frequencies; acquiring data of various indexes of the pavement performance in the test sections according to the given detection time, the detection equipment and the detection frequencies; analyzing and processing the acquired data, fitting regression relational expressions of the various indexes, the transport durations and the traffic volumes and building pavement performance prediction models; inputting set durations or estimated traffic volumes into the models to obtain predicted values of the various indexes of the pavement performance. The method has the advantages that the test sections are locally detected at early stages, the data are processed at the early stages, the models are built at the early stages, and accordingly dependent on excessive pavement detection indexes at late stages can be prevented; only the transport durations and the traffic volumes need to be inputted into the models, accordingly, the pavement performance can be predicted, and the method can conveniently serve for pavement management, design and maintenance and repair.

Description

technical field [0001] The invention belongs to the technical field of road and bridge quality monitoring, and in particular relates to a method for predicting road performance based on traffic duration and traffic volume. Background technique [0002] During the opening period of the pavement, its performance will gradually decrease with the length of the traffic and the cumulative effect of traffic load. When the service level of the pavement is reduced to a certain extent, the service level of the pavement cannot meet the traffic demand, and corresponding measures should be taken to restore or improve the pavement performance. Pavement service performance prediction is to process and analyze the historical data of the pavement through a specific method, establish a pavement service performance prediction model, and predict the pavement service performance in a certain period of time in the future. The prediction results are applied to pavement management, pavement design a...

AI Technical Summary

Problems solved by technology

Therefore, it is difficult to use more complex models to predict the performance indicators of domestic roads, and the prediction accuracy will not be very high

In addition, many models can only be applied to specific areas, and their portability is poor. When a model is applied to another area, the regression coefficient needs to be recalibrated, and the calibration of the regression coefficient requires a large amount of data, which brings a negative impact on road performance prediction. come very difficult

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