Assessment of the Effect of Alligator Cracking on Pavement Condition Using WSN-Image Processing

摘要: The Pavement networks require a systematic method to control the Maintenance and Rehabilitation (MR Wireless Sensor Network (WSN) with image processing identify particular pavement distress namely alligator cracking. An automated analysis provides tool accurately analyze classify pavements within predefined category in order take adequate measures. Data sets for are collected from typical areas network. These data analyzed produce condition index (PCI). PCI is numerical measure that evaluates surface of pavement. It an indicator present based on level measured novel architecture proposed real time collection transmission remote central management system using mobile cracks detection algorithm along fusion presented WSN architecture. Alligator cracking was chosen because it common purely load (structural) related.