Design and Implementation of GIS Web-based Pavement Monitoring System

This paper introduces PAVEMON, a GIS web-based PAVEment MONitoring system designed for accommodating, representing and leveraging data from a multi-modal mobile sensor system. Stated sensor system consists of acoustic, optical, electromagnetic, and GPS sensors and is capable of producing as much as 500 GBytes of data per day. Multi-channel raw sensor data (microphone, accelerometer, tire pressure sensor, video) and processed results (road profile, crack density, road roughness, micro texture depth, etc.) are outputs of this heterogeneous sensor system. By correlating the sensor measurements and positioning data collected in tight time synchronization, PAVEMON attaches a spatial component to all the datasets. These spatially indexed outputs are then placed into an Oracle database. PAVEMON’s web-based GIS module has been integrated seamlessly with this database from which the pavement condition survey data are referenced. Considering that multiple such sensor systems might collect data simultaneously it is crucial to automate the data flow throughout the system. Each of the sensors’ outputs holds an aspect of knowledge required for assessing road conditions which PAVEMON deals with accordingly. From correlating sensor data with the corresponding images, captured by a camera installed on back of the vehicle, data mining algorithms can be developed and validated. Captured every meter, these images have been geo-tagged and mosaicked together providing a resolution far beyond the aerial photography. Google Street-view images have also been integrated into PAVEMON as a third party API to further verify sensors’ data. Accessing all these information through PAVEMON has greatly enhanced the pavement management capabilities.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ABJ50 Information Systems and Technology.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Shahini Shamsabadi, Salar
  • Wang, Ming
  • Birken, Ralf
• Conference:
  • Transportation Research Board 94th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2015-1-11 to 2015-1-15
• Date: 2015

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 16p
• Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Data fusion; Design; Geographic information systems; Monitoring; Pavement management systems; Pavement performance; Sensors
• Identifier Terms: Google Street View
• Subject Areas: Data and Information Technology; Highways; Pavements; I22: Design of Pavements, Railways and Guideways; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01555305
• Record Type: Publication
• Report/Paper Numbers: 15-5183
• Files: TRIS, TRB, ATRI
• Created Date: Feb 26 2015 10:05AM