Decision support model for the selection of asphalt wearing courses in highly trafficked roads

The suitable choice of the materials forming the wearing course of highly trafficked roads is a delicate task because of their direct interaction with vehicles. Furthermore, modern roads must be planned according to sustainable development goals, which is complex because some of these might be in conflict. Under this premise, this paper develops a multi-criteria decision support model based on the analytic hierarchy process and the technique for order of preference by similarity to ideal solution to facilitate the selection of wearing courses in European countries. Variables were modelled using either fuzzy logic or Monte Carlo methods, depending on their nature. The views of a panel of experts on the problem were collected and processed using the generalized reduced gradient algorithm and a distance-based aggregation approach. The results showed a clear preponderance by stone mastic asphalt over the remaining alternatives in different scenarios evaluated through sensitivity analysis. The research leading to these results was framed in the European FP7 Project “DURABROADS” (No. 605404).

[1]  T. Saaty,et al.  Procedures for Synthesizing Ratio Judgements , 1983 .

[2]  Roland R. Draxler,et al.  Root mean square error (RMSE) or mean absolute error (MAE) , 2014 .

[3]  Bram F. Noble,et al.  Environmental Impact Assessment , 2011 .

[4]  Daniel Jato-Espino,et al.  A fuzzy stochastic multi-criteria model for the selection of urban pervious pavements , 2014, Expert Syst. Appl..

[5]  Robert Joumard,et al.  Transport project assessment methodology within the framework of sustainable development , 2010 .

[6]  Jia-Ruey Chang,et al.  Selecting Preventive Maintenance Treatments in Texas: Using the Technique for Order Preference by Similarity to the Ideal Solution for Specific Pavement Study-3 Sites , 2005 .

[7]  M. T. Lamata,et al.  A new measure of consistency for positive reciprocal matrices , 2003 .

[8]  Andrzej Z. Grzybowski,et al.  Note on a new optimization based approach for estimating priority weights and related consistency index , 2012, Expert Syst. Appl..

[9]  Kao Chiang,et al.  Performance of several nonlinear programming software packages on microcomputers , 1998, Comput. Oper. Res..

[10]  Henrikas Sivilevičius,et al.  Application of Expert Evaluation Method to Determine the Importance of Operating Asphalt Mixing Plant Quality Criteria and Rank Correlation , 2011 .

[11]  Daniel M. Madrzykowski,et al.  Fire Pattern Repeatability: A Study in Uncertainty , 2012 .

[12]  Tamás Rapcsák,et al.  On Saaty’s and Koczkodaj’s inconsistencies of pairwise comparison matrices , 2008, J. Glob. Optim..

[13]  O. Tatari,et al.  Ranking the sustainability performance of pavements: An intuitionistic fuzzy decision making method , 2014 .

[14]  Adrian van Leest,et al.  Decision support model for road pavements based on whole life costing, life cycle assessment and multi-criteria analysis , 2008 .

[15]  Joaquín Izquierdo,et al.  Improving consistency in AHP decision-making processes , 2012, Appl. Math. Comput..

[16]  Michael I. Jordan,et al.  Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.

[17]  Omer Tatari,et al.  A stochastic optimization approach for the selection of reflective cracking mitigation techniques , 2014 .

[18]  J. Aczél,et al.  Synthesizing judgements: a functional equations approach , 1987 .

[19]  Ch.-Ch Chou.  The canonical representation of multiplication operation on triangular fuzzy numbers , 2003 .

[20]  I Carswell,et al.  Durability of thin surfacing systems in the UK after nine years monitoring , 2012 .

[21]  Samer Madanat,et al.  Pavement Resurfacing Policy for Minimization of Life-Cycle Costs and Greenhouse Gas Emissions , 2013 .

[22]  J Litzka,et al.  Performance indicators for road pavements - COST Action 354 , 2006 .

[23]  Chiang Kao,et al.  Performance of several nonlinear programming software packages on microcomputers , 1998 .

[24]  Özgür Yeniay,et al.  A comparative study on optimization methods for the constrained nonlinear programming problems. , 2005 .

[25]  Asko Sarja.  Reliability principles, methodology and methods for lifetime design , 2009 .

[26]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[27]  Christian F Davis,et al.  SELECTION OF PAVEMENT MARKINGS USING MULTICRITERIA DECISION MAKING , 1995 .

[28]  Jasmina Đorđević,et al.  The development of transport infrastructure and attitudes of the local population: a case study from the Republic of Serbia , 2018 .

[29]  Mohammad Izadikhah,et al.  Extension of the TOPSIS method for decision-making problems with fuzzy data , 2006, Appl. Math. Comput..

[30]  W. W. Koczkodaj.  A new definition of consistency of pairwise comparisons , 1993 .

[31]  Yu T. Chou.  RELIABILITY DESIGN PROCEDURES FOR FLEXIBLE PAVEMENTS , 1990 .

[32]  Zhang Xiao-ning.  Selecting Preventive Maintenance Treatments for Asphalt Concrete Pavement , 2007 .

[33]  Daniel Jato-Espino,et al.  Decision aid system founded on nonlinear valuation, dispersion-based weighting and correlative aggregation for wire rope selection in slope stability cable nets , 2016, Expert Syst. Appl..

[34]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[35]  Tommi Tervonen,et al.  Implementing stochastic multicriteria acceptability analysis , 2007, Eur. J. Oper. Res..

[36]  G. A. Miller.  THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[37]  T. Chai,et al.  Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature , 2014 .

[38]  Suzana Kahn Ribeiro,et al.  A Fuzzy Multi-Criteria Model applied to the management of the environmental restoration of paved highways , 2007 .

[39]  Geoffrey P. Hammond,et al.  Embodied energy and carbon in construction materials , 2008 .

[40]  Haiquan Cai,et al.  Choice of Crack Repairing Material for Asphalt Pavement Based on AHP , 2012 .

[41]  Salvatore Cafiso,et al.  Multicriteria Analysis Method for Pavement Maintenance Management , 2002 .

[42]  Zheng Wu,et al.  Hybrid Multiobjective Optimization Model for Regional Pavement-Preservation Resource Allocation , 2008 .

[43]  Irina Vinogradova,et al.  Multi-Attribute Decision-Making Methods as a Part of Mathematical Optimization , 2019, Mathematics.

[44]  Andrzej Z. Grzybowski.  Erratum to "New results on inconsistency indices and their relationship with the quality of priority vector estimation" Expert Systems with Applications 43 (2016) 197-212 , 2016, Expert Syst. Appl..

[45]  G. A. Miller.  The magical number seven plus or minus two: some limits on our capacity for processing information. , 1956, Psychological review.

[46]  Edmundas Kazimieras Zavadskas,et al.  Multi-attribute Assessment of Road Design Solutions by Using the COPRAS Method , 2007 .

[47]  Theo K. Dijkstra,et al.  On the extraction of weights from pairwise comparison matrices , 2013, Central Eur. J. Oper. Res..

[48]  Edmundas Kazimieras Zavadskas,et al.  Multi-Attribute Decision-Making Methods for Assessment of Quality in Bridges and Road Construction: State-Of-The-Art Surveys , 2008 .

[49]  Tommi Tervonen,et al.  Decision Support Implementing stochastic multicriteria acceptability analysis , 2007 .

[50]  Larry Galehouse,et al.  Energy Usage and Greenhouse Gas Emissions of Pavement Preservation Processes forAsphalt Concrete Pavements , 2010 .

[51]  Waldemar W. Koczkodaj,et al.  An LP-based inconsistency monitoring of pairwise comparison matrices , 2011, Math. Comput. Model..

[52]  Carlos A. Bana e Costa,et al.  A critical analysis of the eigenvalue method used to derive priorities in AHP , 2008, Eur. J. Oper. Res..

[53]  Sigurdur Erlingsson,et al.  Resilient Modulus Modeling of Unsaturated Subgrade Soils with Matric Suction Control , 2014 .

[54]  To Fu Ma,et al.  Reduced gradient method combined with augmented Lagrangian and barrier for the optimal power flow problem , 2008, Appl. Math. Comput..

[55]  Hande Demirel,et al.  Impacts of climate change on transport a focus on road and rail transport infrastructures , 2012 .

[56]  Paola Di Mascio,et al.  Environmental Impact Assessment of Road Asphalt Pavements , 2013 .

[57]  S. Sinha.  Methods of nonlinear programming , 2006 .

[58]  D. Vose.  Risk Analysis: A Quantitative Guide , 2000 .

[59]  J. Hammersley,et al.  Monte Carlo Methods , 1965 .

[60]  Leon S. Lasdon,et al.  Design and Testing of a Generalized Reduced Gradient Code for Nonlinear Programming , 1978, TOMS.

[61]  Athanassios Nikolaides,et al.  Highway Engineering: Pavements, Materials and Control of Quality , 2014 .

[62]  Hsiu-Fen Lin,et al.  An application of fuzzy AHP for evaluating course website quality , 2010, Comput. Educ..

[63]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[64]  Edmundas Kazimieras Zavadskas,et al.  Multi‐objective decision‐making for road design , 2008 .

[65]  Henrikas Sivilevičius,et al.  Quality Attributes And Complex Assessment Methodology of the Asphalt Mixing Plant , 2008 .

[66]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[67]  Waldemar W. Koczkodaj,et al.  On distance-based inconsistency reduction algorithms for pairwise comparisons , 2010, Log. J. IGPL.

[68]  H Bendtsen,et al.  Optimization of thin asphalt layers : state-of-the-art review , 2011 .