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Mathematical Problems in Engineering
Volume 2015, Article ID 370675, 6 pages
Research Article

Research on Model Development for Freeway Safety Facilities

1School of Automotive and Traffic Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu 212013, China
2School of Transportation, Southeast University, 2 Si Pai Lou, Nanjing, Jiangsu 210096, China
3College of Civil and Transportation Engineering, Hohai University, 1 Xikang Road, Nanjing, Jiangsu 210098, China

Received 30 August 2014; Accepted 14 January 2015

Academic Editor: Heiner Bubb

Copyright © 2015 Junping Xie et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


To make freeway safety facilities function well, field survey is carried out to evaluate the maintenance quality of freeway safety facilities. In traditional models, the same weight values are assigned to the safety facilities while evaluating without considering the functional differences of different facilities. The paper develops the maintenance quality evaluation procedure and the model considering the functional differences of freeway safety facilities. In the evaluation procedure, the safety facility damage in function is the main index to get the evaluation scores for each kind of facility. The purpose of the model is to convert the evaluation scores of different safety facilities to an overall maintenance quality measure, and this result can reveal the overall facility maintenance quality of the freeway segment. In order to build the model and confirm the calculated weight of each kind of facility, Multivariable Regression and Optimized Analytic Hierarchy Process were used separately. The model was validated by comparing the proposed model evaluation results and the reorganized survey evaluation results. The coefficient of correlation (R2 value) is 0.9048, which shows strong correlation between the subjective evaluation and objective evaluation.