|Table of Contents|

Expressway minor maintenance amount prediction based on neural network(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2012年06期
Page:
23-27
Research Field:
Publishing date:

Info

Title:
Expressway minor maintenance amount prediction based on neural network
Author(s):
TENG Wei-ling;  YAO Yu-ling
School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China
Keywords:
road engineering;  minor repair and maintenance;  maintenance amount prediction;  BP neural network;  pavement disease
PACS:
U418
DOI:
-
Abstract:
In order to predict expressway minor repair and maintenance amount scientifically and reasonably, the main factors of expxessway minor repair and maintenance amount were analyzed and the maintenance amount prediction method of BP neural network based on Matlab was put forward. With the samples of historical statistics of asphalt pavement minor maintenance amount, the quantitative indexes of factors including the score value of pavement quality, the pavement performance index, the annual average volume of daily traffic, the annual average of daily heavy vehicles, the road service life, the annual mean temperature difference, the pavement thickness and the pavement width were under consideration. Prediction model of pavement minor repair and maintenance was established. According to pavement distress amount of investigated expressways, analyses and predictions were made respectively by the BP neural network model and multiple linear regression model. The results show that compared with the actual data, the prediction error of BP neural network model is 5%, and the prediction error of multiple linear regression model is 14%, which indicates that BP neural network model to predict the minor repair and maintenance amount of expressway asphalt pavement is a more reasonable and feasible method. 3 tabs, 1 fig, 11 refs.

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Last Update: 2012-12-30