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Determine the Optimal Arrangement of Pavement Condition Surveyed Inspection Units using Genetic Algorithm (GA)

Year: 1393
COI: NCCE08_0001
Language: EnglishView: 1,469
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Fereidoon Moghadas Nejad - Associate Professor, Dept. of Civil and Environmental Engineering, Amirkabir University, Tehran, Iran
Ashkan Allahyari Nik - M.Sc. Student, Highway and Transportation Engineering, Dept. of Technical and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
H. Zakeri - PhD Candidate, Dept. of Civil and Environmental Engineering, Amirkabir University, Tehran, Iran


Pavement condition index (PCI) is an important index in pavement management that is required toinspection process for estimating it. First step in this process is dividing pavement sections into smallerunits as inspection units. Inspecting all of the units is needed to high cost and time, therefore samplingplan must be somehow inspecting specific number of the inspection units as surveyed inspection units canestimate with the lowest error in PCI. The main purpose of this paper is to use and develop GA forestimating PCI with optimal arrangement of surveyed inspection units. A pavement network as a casestudy was applied for demonstrating the effect of proposed GA. Results of this research can helpmanagers and inspectors for better decision making in inspection process.


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Moghadas Nejad, Fereidoon and Allahyari Nik, Ashkan and Zakeri, H.,1393,Determine the Optimal Arrangement of Pavement Condition Surveyed Inspection Units using Genetic Algorithm (GA),8th National Congress On Civil Engineering,Babol,

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  • Shahin, M. Y. (2005), :Pavement management for airports, roads and ...
  • Moghadas Nejad, F., and Zakeri, H. (2011), "A comparison of ...
  • Buddhavarapu, P., Banerjee, A., and Prozzi, J.A. (2013), :Influence of ...
  • Oregon Department of Aviation, (2011), :Pavement evaluation / maintenance management ...
  • De la Garza, J.M. Piiero, J. C., and Ozbek , ...
  • Michigan Department of Transportation, (2008), :Statewide pavement management repor: phase ...
  • Mishalani, R.G., and Gong, L. (2009), :Optimal infrastructure condition sampling ...
  • Texas Transportation Institute. (2010), :Use of micro unmanned aerial vehicles ...
  • ASTM D6433-11. (2011), :Standard practice for roads and parking lots ...
  • Cavuoti, S., Garofalo, M., Brescia, M., Paolillo, M., Pescape , ...
  • Lipowski, A., and Lipowska, D. (2012), _ Roulette-whel selection via ...
  • Lu, Ch., and Yu, V. F. (2012), :Data envelopment analysis ...
  • Sivanandam, S.N., and Deepa, S.N. (2008), Introduction o Genetic Algorithms, ...

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