Pavement condition assessment using soft computing techniques
| Autor: | Antriksh Sharma, Ajit Pratap Singh, Raunak Mishra, Makrand Wagle, Ashoke Kumar Sarkar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Strategic planning
Soft computing Prioritization 050210 logistics & transportation International Roughness Index lcsh:TE1-450 Computer science Rut 05 social sciences 0211 other engineering and technologies 02 engineering and technology Condition assessment Fuzzy logic Transport engineering Mechanics of Materials 021105 building & construction 0502 economics and business Performance indicator lcsh:Highway engineering. Roads and pavements Civil and Structural Engineering |
| Zdroj: | International Journal of Pavement Research and Technology, Vol 11, Iss 6, Pp 564-581 (2018) |
| ISSN: | 1996-6814 |
| Popis: | 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 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 (Eo) (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 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. Keywords: Pavement condition assessment, Fuzzy Analytical Hierarchy Process (FAHP), Fuzzy Weighted Average (FWA) method, PMGSY roads, Pavement maintenance, rehabilitation and management |
| Databáze: | OpenAIRE |
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