Enhancing Road Maintenance Prioritization: Single Index Screening and Unified Pavement Assessment Metric Integration

Abstract

Effective road maintenance is critical for ensuring safety, efficiency, and convenience in transportation networks. However, conventional assessment methods, often relying on isolated metrics or visual inspections, fail to capture the complex interplay of pavement condition factors, leading to potential misallocation of maintenance efforts. This study proposes a two-stage framework to enhance road condition assessment and maintenance prioritization by integrating individual performance indices with a unified pavement assessment metric (UPAM) developed through the fuzzy analytic hierarchy process. In the first stage, road segments are pre-screened based on individual indices—the structural condition index, international roughness index, international friction index, and pavement condition index—to identify localized deficiencies. Segments are classified as high or low priority based on threshold performance. In the second stage, segments are systematically ranked within each group using UPAM scores. While individual indices offer detailed diagnostic insights, they lack consistency for ranking; conversely, the UPAM provides standardized prioritization but may obscure critical localized issues. The combined approach improves transparency, reliability, and decision-making effectiveness, offering a comprehensive tool for optimizing pavement maintenance strategies.

Keywords

infrastructure infrastructure management and system preservation pavement maintenance pavement management systems decision making: pavement management pavement management pavement performance

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References

Sun

Pavement Condition Assessment Using Fuzzy Logic Theory and Analytic Hierarchy Process. Journal of Transportation Engineering, Vol. 137, No. 9, 2011, pp. 648–655. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000239

Singh

A. P.

Sharma

Mishra

Wagle

Sarkar

A. K.

Pavement Condition Assessment Using Soft Computing Techniques. International Journal of Pavement Research and Technology, Vol. 11, No. 6, 2018, pp. 564–581. https://doi.org/10.1016/j.ijprt.2017.12.006

Babashamsi

Golzadfar

Yusoff

N. I. M.

Ceylan

Nor

N. G. M.

Integrated Fuzzy Analytic Hierarchy Process and VIKOR Method in the Prioritization of Pavement Maintenance Activities. International Journal of Pavement Research and Technology, Vol. 9, No. 2, 2016, pp. 112–120. https://doi.org/10.1016/j.ijprt.2016.03.002

Moazami

Behbahani

Muniandy

Pavement Rehabilitation and Maintenance Prioritization of Urban Roads Using Fuzzy Logic. Expert Systems with Applications, Vol. 38, No. 10, 2011, pp. 12869–12879. https://doi.org/10.1016/j.eswa.2011.04.079

Gogoi

Dutta

Maintenance Prioritization of Interlocking Concrete Block Pavement Using Fuzzy Logic. International Journal of Pavement Research and Technology, Vol. 13, No. 2, 2020, pp. 168–175. https://doi.org/10.1007/s42947-019-0098-9

Saaty

T. L.

Decision-Making with the AHP: Why Is the Principal Eigenvector Necessary. European Journal of Operational Research, Vol. 145, No. 1, 2003, pp. 85–91. https://doi.org/10.1016/S0377-2217(02)00227-8

Ahmed

Vedagiri

Krishna Rao

K. V.

Prioritization of Pavement Maintenance segments Using Objective Based Analytic Hierarchy Process. International Journal of Pavement Research and Technology, Vol. 10, No. 2, 2017, pp. 158–170. https://doi.org/10.1016/j.ijprt.2017.01.001

Zadeh

L. A.

Fuzzy Sets. Information and Control, Vol. 8, No. 3, 1965, pp. 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X

Ross

T. J.

Fuzzy Logic with Engineering Applications. John Wiley & Sons, Chichester, England, 2005.

10.

Saaty

T. L

. Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World. RWS Publications, Pittsburgh, PA, 2001.

11.

Larson

C. D.

Forman

E. H.

Application of Analytic Hierarchy Process to Select Project Scope for Videologging and Pavement Condition Data Collection. Transportation Research Record: Journal of the Transportation Research Board, 2007. 1990: 40–47.

12.

Forman

E. H.

Gass

S. I.

The Analytic Hierarchy Process—an Exposition. Operations research, Vol. 49, No. 4, 2001, pp. 469–486.

13.

AASHTO

Guide for Design of Pavement Structures. American Association of State Highway and Transportation Officials, Washington, D.C., 1993.

14.

ASTM International. E1926-08 Standard Practice for Computing International Roughness Index of Roads from Longitudinal Profile Measurements. ASTM International, West Conshohocken, PA, 2015.

15.

ASTM International. E1960-98, Standard Practice for Calculating International Friction Index of a Pavement. ASTM International, West Conshohocken, PA, 2008.

16.

ASTM International. D6433-07, Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys. ASTM International, West Conshohocken, PA, 2018.