Maintenance prioritization of interlocking concrete block pavement using fuzzy logic

Springer Science and Business Media LLC - Tập 13 Số 2 - Trang 168-175 - 2020
Ripunjoy Gogoi1, Bhupali Dutta2
1Department of Civil Engineering, Amity School of Engineering and Technology, Amity University Madhya Pradesh, Gwalior, India
2Transportation Engineering, Department of Civil Engineering, Birla Institute of Technology and Science, Pilani, India

Tóm tắt

Từ khóa


Tài liệu tham khảo

T. F. Fwa, R. Shanmugam, Fuzzy logic technique for pavement condition rating and maintenance-needs assessment. 4th International Conference on Managing Pavements, Transp. Res. Board, Washington, DC, 1998.

J. Arliansyah, T. Maruyama, O. Takahashi, A development of fuzzy pavement condition assessment, Doboku Gakkai Ronbunshu 61 (746) (2003) 275–285.

H. K. Koduru, F. Xiao, S. N. Amirkhanian, C. H. Juang, Using fuzzy logic and expert system approaches in evaluating flexible pavement distress: Case study, J. Transp. Eng. 136 (2) (2010) 149–157.

M. Mahmood, M. Rahman, L. Nolle, S. Mathavan, A fuzzy logic approach for pavement section classification, Inter. J. Pave. Res. Technol. 6 (5) (2013) 620–626.

M. Mahmood, M. Rahman, S. Mathavan, L. Nolle, Pavement management: Data centric rules and uncertainty management in section classification by a fuzzy inference system, 6th Inter. Conference on Bituminous Mixtures and Pavements, Taylor & Francis Group, London, UK, 2015, pp. 533–541.

L. Sun, W. Gu, Pavement condition assessment using fuzzy logic theory and analytic hierarchy process, J. Transp. Eng. 137 (9) (2010) 648–655.

A. P. Singh, A. Sharma, R. Mishra, M. Wagle, A. K. Sarkar, Pavement condition assessment using soft computing techniques, Inter. J. Pavement Res. Technol. 11 (6) (2018) 564–581.

C. Torres-Machí, A. Chamorro, C. Videla, E. Pellicer, V. Yepes, An iterative approach for the optimization of pavement maintenance management at the network level, Scientific World J. 2014 (2014) https://doi.org/10.1155/2014/524329.

A. Loizos, A simplified application of fuzzy set theory for the evaluation of pavement roughness, Road Transp. Res. 10 (4) (2001) 21–32.

W. Li, J. Huyan, L. Xiao, S. Tighe, L. Pei, International roughness index prediction based on multigranularity fuzzy time series and particle swarm optimization, Expert Syst. Appl. 10 (2) (2019) 100006.

R. Kumar, A. Mukherjee, V.P. Singh, Community sensor network for monitoring road roughness using smartphones, J. Comput. Civ. Eng. 31 (3) (2016) 04016059.

M. Karashahin, S. Terzi, Performance model for asphalt concrete pavement based on the fuzzy logic approach, Transp. 29 (1) (2014) 18–27.

H. Jeong, H. Kim, K. Kim, H. Kim, Prediction of flexible pavement deterioration in relation to climate change using fuzzy logic, J. Infras. Syst. 23 (4) (2017) 1–11.

S. P. Soncim, I. C. S. de Oliveira, F. B. Santos, Development of fuzzy models for asphalt pavement performance, Acta Scientiarum Technol. 41 (e35626) (2018) 10.4025/actascitechnol.v41i1.35626

P. A. Chassiakos, A fuzzy-based system for maintenance planning of road pavements, 10th International Conference on Computers, Athens, Greece, 2006, pp. 535–540.

D. Moazami, H. Behbahani, R. Muniandy, Pavement rehabilitation and maintenance prioritization of urban roads using fuzzy logic, Expert Syst. Appl. 38 (10) (2011) 12869–12879.

S. Chandran, K. P. Isaac, A. Veeraragavan, Prioritization of low-volume pavement sections for maintenance by using fuzzy logic, Transp. Res. Rec. 1989 (1) (2007) 53–60.

Y. O. Ouma, J. Opudo, S. Nyambenya, Comparison of fuzzy AHP and fuzzy TOPSIS for road pavement maintenance prioritization: methodological exposition and case study, Adv. Civ. Eng. 2015 (2015) https://doi.org/10.1155/2015/140189

M. E. C. Bagdatli, Fuzzy Logic-Based Life-Cycle Cost Analysis of Road Pavements, J. Transp. Eng. Part B, 144 (4) (2018) 04018050.

Applied Research Associates Inc., Interlocking concrete pavement distress manual. Interlocking Concrete Pavement Institute, ARA, Eglinton Avenue West, Toronto, Ontario, 2007.

Federal Highway Administration, Pavement preservation definitions. (FHWA, 2016), (https://www.fhwa.dot.gov/pavement/preservation/) Accessed on Apr. 2, 2019.

American Society for Testing and Materials, Standard practice for roads and parking lots pavement condition index surveys. ASTM D6433-16. ASTM International, West Conshohocken, PA, (2016).

American Society for Testing and Materials, Standard test method for airport pavement condition index surveys. ASTM D. 5340-12. ASTM International. West Conshohocken, PA, 2018.

American Society of Civil Engineers, Structural Design of interlocking concrete pavement for municipal streets and roadways. ASCE/T&DI/ICPI Standard 58-10. ASCE, Reston, Virginia, 2010.

Indian Road Congress, Guidelines for the use of interlocking concrete block pavement. IRC SP 63. IRC, New Delhi, India, 2004.

Y. Miura, M. Takaura, T. Tsuda, Structural design of concrete block pavements by CBR method and its evaluation. In Proc. 2nd Inter. Conference Concrete Block Paving, Delft Univ. of Technology, Delft, Netherlands, 1984, pp. 152–157.

R. Gogoi, Cost effectiveness of interlocking concrete block pavements for low volume traffic roads, Inter. J. Eng. Adv. Technol. 8 (6) (2019) 1239–1244.

N. Oliver, M. Fischer, B. Muller, Fuzzy rule extraction by a genetic algorithm and constrained nonlinear optimization of membership functions. Proceedings of IEEE 5th International Fuzzy Systems, IEEE, New Orleans, LA, USA, Vol. 1, 1996, pp. 213–219.

MATLAB and Statistics Toolbox Release 2012b, Math Works, Inc., Natick, Massachusetts, United States, 2012.