Real-time automated survey system of pavement cracking in parallel environment

Journal of Infrastructure Systems

Volumn 11, Issue 3, 2005, Pages 154-164

  Wang, Kelvin C P ^a   Gong, Weiguo ^b  

^a University of Arkansas   (United States)

^b UNIVERSITY OF ARKANSAS   (United States)

Author keywords

Automatic identification systems; Cracking; Parallel processing; Pavement condition; Pavement management; Surveys

Indexed keywords

CONDITION MONITORING; CRACK INITIATION; IMAGE PROCESSING; PARALLEL ALGORITHMS; PARALLEL PROCESSING SYSTEMS; REAL TIME SYSTEMS;

AUTOMATIC IDENTIFICATION SYSTEMS; DIGITAL HIGHWAY DATA VEHICLE (DHDV); PAVEMENT CONDITION; PAVEMENT MANAGEMENT;

PAVEMENTS;

CRACKING; PAVEMENT; SURVEYING;

EID: 27544463849     PISSN: 10760342     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)1076-0342(2005)11:3(154)     Document Type: Article

References (6)

1. AASHTO. (2001). "Standard practice for quantifying cracks in asphalt pavement surface." AASHTO Designation: PP44-00, Washington, D.C.
2. International Business Machines (IBM) Corporation 1990. (1996). AIX Versions 3.2 and 4 Performance Tuning Guide, 5th Ed.
3. Paterson, W. D. (1994). "Proposal of universal cracking indicator for pavements." Transportation Research Record 1455, Transportation Research Board, Washington, D.C., 69-74.
4. Russ, J. C. (1999). The image processing handbook, 3rd Ed., CRC Press, Boca Raton, FL.
5. Wang, K. C. P. (2000). "Designs and implementation of automated systems for pavement surface distress survey." J. Infrastruct. Syst., 6(1), 24-32.
6. Wang, K. C. P., Gong, W. G., Li, X. Y., Elliott, R. P., and Daleiden, J. (2002). "Data analysis of a real-time system for automated distress survey." Transportation Research Record 1806, Transportation Research Board, Washington, D.C., 101-109.