Pavement condition assessment using soft computing techniques

Roads are the lifeline of a nation which provides a reliable and easy access to different areas across the country. Once the roads are constructed, their condition goes on deteriorating with time. Therefore, implementing periodic pavement maintenance is equally important as that of construction for the satisfactory performance throughout their design life. This study develops an approach for pavement condition assessment and their prioritization which can be dealt with by a variety of performance indicators for evaluating different aspects of pavement performance. Pavement stretches with low ratings will have a high probability to be scheduled for maintenance and rehabilitation, depending on the availability of funds and the importance of roads. This paper presents two approaches of fuzzy mathematical analysis to conceive strategic planning for maintenance and rehabilitation of pavements. The pavement deterioration condition has been marked by four performance indicators: (a) International Roughness Index (IRI) (b) Surface Modulus (E₀) (c) Rut depth (R) and (d) Friction Coefficient (f). A methodology has been framed to assess condition of Pradhan Mantri Gramin Sadak Yojna (PMGSY) all weather roads located in Jhunjhunu district of Rajasthan, India. These stretches have been prioritized on the basis of their performance parameters using two soft computing techniques: (a) Fuzzy Analytical Hierarchy Process (FAHP) and (b) Fuzzy Weighted Average (FWA) method. The results clearly demonstrate that FAHP being a more scientific approach can be considered as a base model for assessing the pavement condition. However, to have sound decisions, results so obtained are compared effectively from FWA method.

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  • English

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  • Accession Number: 01685000
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 17 2018 3:15PM