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

  • Turki I. Al-Suleiman (Obaidat)
  • Zoubir M. Hamici
  • Subhi M. Bazlamit
  • Hesham S. Ahmad
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


The Pavement networks require a systematic method to control the Maintenance and Rehabilitation (M&R) process, to define priorities and ensure optimum allocation of resources. A Pavement Maintenance Management System (PMMS) is a useful tool for evaluation, prioritization of M&R projects, and determination of allocation and funding requirements. This research work used a novel architecture of a PMMS system; a Wireless Sensor Network (WSN) with image processing to identify a particular pavement distress namely alligator cracking. An automated analysis provides a tool to accurately analyze and classify pavements within a predefined category in order to take adequate measures. Data sets for image processing are collected from typical areas in the pavement network. These data are analyzed to produce the pavement condition index (PCI). PCI is a numerical measure that evaluates the surface condition of the pavement. It provides an indicator of the present pavement condition based on the distress level measured on the surface of the pavement. The novel architecture is proposed for real time data collection and transmission to a remote central processing management system using a mobile network. An image processing alligator cracks detection algorithm along with data fusion are presented within the WSN architecture. Alligator cracking was chosen because it is a common distress and purely load (structural) related.


Pavement condition Management systems Alligator cracking WSN Image processing 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Turki I. Al-Suleiman (Obaidat)
    • 1
  • Zoubir M. Hamici
    • 2
  • Subhi M. Bazlamit
    • 1
  • Hesham S. Ahmad
    • 1
  1. 1.Department of Civil and Infrastructure EngineeringAl-Zaytoonah University of JordanAmmanJordan
  2. 2.Department of Electrical EngineeringAl-Zaytoonah University of JordanAmmanJordan

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