Utilizing Artificial Intelligence to Collect Pavement Surface Condition Data | ||
| Engineering and Technology Journal | ||
| Article 9, Volume 38, 1A, January 2020, Pages 74-82 PDF (864.83 K) | ||
| DOI: 10.30684/etj.v38i1A.251 | ||
| Authors | ||
| Hasan H. Joni1; Imzahim A. Alwan* 2; Ghazwan A. Naji3 | ||
| 1Department of Civil Engineering, University of Technology, Baghdad, Iraq. 40317@uotechnology.edu.iq | ||
| 2Department of Civil Engineering, University of Technology, Baghdad, Iraq. 40164@uotechnology.edu.iq | ||
| 3Department of Civil Engineering, University of Technology, Baghdad, Iraq. 41233@student.uotechnology.edu.iq | ||
| Abstract | ||
| Nowadays, data collection mechanisms are developed from ancient methods, including visual surveying to modern methods, which rely on digital imaging devices and laser scanning. This is expensive, delay of the pavement maintenance management and consuming of time. In this paper, a robust method proposed for automotive detection of linear distresses from real life movies of Iraqi highways. In the suggested method, common types of cracks, potholes and raveling are distinguished and collected automatically using high speed imaging techniques. The data extracted using the suggested method can be used for selecting priority of management maintenance of country roads and making decisions for treatment or rehabilitation. | ||
| Keywords | ||
| Pavement surface condition; High speed camera; artificial intelligence | ||
| References | ||
|
[1] MORTH Ministry of road transport and highways/ Indian roads congress, on behalf of the Govt. of India.
[2] K. H. McGhee, “Automated pavement distress collection techniques,” NCHRP Synthesis 334. National Cooperative Highway Research Program,Transportation Research Board, Washington D.C. 2004.
[3] R. C. G. Haas, W. R. Hudson and J. P. Zaniewski ,“Modern pavement management,” Krieger Publishing Company, Malabar, Florida, 1994.
[4] T. Fukuhara, K. Terada, M. Nagao, A. Kasahara and S. Ichihashi. “Automatic pavement distress survey system,” Journal of Transportation Engineering, Vol. 116, No. 3, pp. 280-286, May/June 1990.
[5] K. C. P. Wang, “Design and implementation of automated systems for pavement surface distress survey,” ASCE Journal of Infrastructure Systems, Vol.6, No1, pp.24-32, 2000.
[6] WDM.http://www.wdm.co.uk/surveying/4-surveying/5-rav-scanner-surveys.Accessed February 1, 2011.
[7] CSIRO. http://www.csiro.au/solutions/RoadCrack.html Accessed February 1 2011.
[8] Y. Huang and B. Xu, “Automatic inspection of pavement cracking distress,” FHWA/TX-06/5-4975-01-1, Texas Department of Transportation, Austin, Texas, 2006.
[9] B. Xu, “Linear lighting system for automated pavement distress measurement,” FHWA/TX-06/0-4958-1, Texas Department of Transportation, Austin, Texas, 2006.
[10] M. Monti. “Large-area laser scanner with holographic detector optics for real-time recognition of cracks in road surfaces,” Optical Engineering, Vol. 34, No. 7, pp 2017-2023, July 1995.
[11] K. C. P. Wang and W. Gong, “Real-time automated survey system of pavement cracking in parallel environment,” Journal of Transportation Engineering, Vol. 11, No. 3, pp. 154-164, 2005.
[12] K. C. P. Wang and W. Tee, http://www.airporttech.tc.faa.gov/naptf/att07/2002%20TRACK%20P.pdf. Accessed February 12, 2011. | ||
|
Statistics Article View: 289 PDF Download: 160 |
||