Abstract
Effective pavement management requires the prioritization of the road stretches for logical disbursement of the funds available towards maintenance of the pavement. Several methods have been developed and implemented towards this goal. However, the uncertainty involved with some of the parameters has not been addressed adequately in most of the works. One such parameter has been identified as the severity of distress which is difficult to assess accurately. Hence a Fuzzy Multi Criteria Decision Making (FMCDM) approach has been proposed in this paper. For demonstration of the approach, pavement distresses with respect to their extent and severity have been collected over a number of stretches. In addition, an expert opinion survey has been carried out to quantify the influence of these parameters on the functional condition of the pavement. Priority Index (PI) has been worked out, based on which the ranking of the stretches has been arrived at.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bandara, N., Gunaratne, M.: Current and Future Pavement Maintenance Prioritization Based on Rapid Visual Condition Evaluation. Journal of Transportation Engineering 127(2) (2001)
Broten, M.: Local agency pavement Management application guide. The Northwest Technology Transfer Center, Washington State Department of Transportation, Olympia, WA (1996)
Chen, X., et al.: URMS: a graphical urban roadway management system at network level. Transportation Research Record 1397, Transportation Research Board, Washington, DC, pp. 103-111 (1993)
Chen, C.-T.: A fuzzy approach to select the location of the distribution center. Fuzzy Sets and Systems 118, 65–73 (2001)
Dubois, D., Prade, H.: Operations on Fuzzy Numbers. International Journal of system science 9(3), 613–626 (1978)
FHWA: Pavement and Road Surface Management for Local Agencies. Course Notebook, prepared by Texas Transportation Institute Texas A&M University for the Pavement Division of the Federal Highway Administration, Washington, D.C. (1994)
Golabi, K., Pereira, P.: Innovative Pavement Management and Planning System for Road Network of Portugal. Journal of Infrastructure Systems, ASCE, 75-80 (June 2003)
Haas, R., Hudson, W.R., Zaniewski, J.: Modern Pavement Management. Krieger Publishing Co., Malablar (1994)
Huang, C.C.: A study on the fuzzy ranking and its application on the decision support systems. Ph.D. dissertation, Tamkang Univ., Taiwan, R.O.C. (1989)
Chen, M.-F., Tzeng, G.-H., Ding, C.G.: Fuzzy MCDM Approach Select Service Provider. In: The IEEE International Conference on Fuzzy Systems, IEEE Computer Society Press, Los Alamitos (2003), http://ieeexplore.ieee.org/iel5/8573/27217/01209427.pdf?arnumber=1209427
NCHRP Synthesis 222; “Pavement Management Methodologies to Select Projects and Recommend Preservation Treatments”, National Cooperative Highway Research Program, Transportation Research Board, Washington, D.C (1995)
Prakash, T.N.: Land Suitability Analysis for Agricultural Crops: A Fuzzy Multicrtiteria Decision Making Approach. Master of Science thesis submitted to International Institute for Geo-Information Science and Earth observation, Enschede, The Netherlands (December 2003)
Ramadhan, R.H., Wahhab, A.A., Duffuaa, S.O.: The use of an analytical hierarchy process in pavement maintenance priority ranking. Journal of Quality in Maintenance Engineering 5(1), 25–39 (1999)
Reddy, B.B., Veeraragavan, A.: “Priority Ranking model for managing flexible pavements at network level. Technical Paper Published in 62nd annual session of Indian Roads Congress ( IRC), 8th-11th January, Kochi, India (2002)
Sanja, P., Radivoj, P.: A new fuzzy multi-criteria methodology for ranking alternatives. International Transactions in Operational Research, Res. 9, 73–84 (2002)
Sharaf, E.: Ranking versus simple optimization in setting pavement maintenance priorities: a case study from Egypt. Transportation Research Record 1397, Transportation Research Board, Washington DC, pp. 34-38 (1993)
Wang, W., Fenton, N.: Risk and Confidence Analysis for Fuzzy Multicriteria Decision Making. Risk Analysis and Decision Research Group, Department of Computer Science, Queen Mary University of London, Mile End Road, London. http://www.dcs.qmul.ac.uk/norman/papers/Wang_Fenton_Risk_and_Confidence.pdf
Hsu, Y.-G., Tzeng, G.-H., Shyu, J.Z.: Fuzzy Multiple Criteria Selection of Government-sponsored frontier technology R&D projects. R&D Management, Blackwell Publishing Ltd. 33, 5 (2003)
Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sandra, A.K., Rao, V.R.V., Raju, K.S., Sarkar, A.K. (2007). Prioritization of Pavement Stretches Using Fuzzy MCDM Approach – A Case Study. In: Saad, A., Dahal, K., Sarfraz, M., Roy, R. (eds) Soft Computing in Industrial Applications. Advances in Soft Computing, vol 39. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70706-6_25
Download citation
DOI: https://doi.org/10.1007/978-3-540-70706-6_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70704-2
Online ISBN: 978-3-540-70706-6
eBook Packages: EngineeringEngineering (R0)