Automated Pavement Distress Collection Techniques
TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 334: Automated Pavement Distress Collection Techniques examines highway community practice and research and development efforts in the automated collection and processing of pavement condition data techniques typically used in network-level pavement management. The scope of the study covered all phases of automated pavement data collection and processing for pavement surface distress, pavement ride quality, rut-depth measurements, and joint-faulting measurements. Included in the scope were technologies employed, contracting issues, quality assurance, costs and benefits of automated techniques, monitoring frequencies and sampling protocols in use, degree of adoption of national standards for data collection, and contrast between the state of the art and the state of the practice.
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CHAPTER TWO DATA COLLECTION ISSUES AND TECHNOLOGIES
CHAPTER THREE DATA PROCESSING TECHNOLOGIES
CHAPTER FOUR DATA MANAGEMENT PROCEDURES
CHAPTER SIX QUALITY ASSURANCE
CHAPTER SEVEN COSTS ADVANTAGES AND DISADVANTAGES
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AASHTO provisional standard ASTM automated data collection automated distress Automated Pavement Distress British Columbia calibration cameras capture collection and processing Cont contract contractor costs crack detection cracking data data management data reduction deﬁned deﬁnition Department of Transportation developed digital images distress data collection Distress Survey equipment evaluation faulting Federal Highway Administration FHWA ﬁeld ﬁles ﬁlm ﬁve hard drives highway agencies HPMS identiﬁcation joint-faulting measurements LADOTD laser line scan Louisiana LTPP Manitoba Maryland metadata methods Ministry National Research Council NCHRP Synthesis pave pavement condition data pavement cracking pavement data collection pavement distress data Pavement Engineer pavement images Pavement Management Pavement Management Engineer pavement surface distress problems proﬁle proﬁler protocols questionnaire responses reﬂect road roadway roughness rut bar rut-depth measurement S-VHS sampling sensor data speciﬁc Table technologies tion Transportation Research Board transverse variability vehicle vendor Washington wheel paths WiseCrax