PAVEMAN: A Data-Driven Customizable PAVEment MANagement System
Successful implementation of a Pavement Management System (PMS) hinges on the accuracy of the information it is based on. Due to the difficulties associated with the current inspection methods, lots of agencies do not have up-to-date information of their road networks. Thus the PMS models need to make lots of assumptions and extrapolations which decrease the reliability of their strategies. This paper introduces PAVEMAN, a data driven customizable PAVEment MANagement system that aims to plan optimum maintenance and repair activities with respect to the priority policies to make practical and defensible decisions. PAVEMAN leverages data from a multi-modal mobile sensor system which can assess road conditions frequently and affordably at both surface and subsurface levels. Stated sensor system consists of acoustic, optical, electromagnetic, and GPS sensors and produces data on a variety of surface and subsurface characteristics of pavements for every meter of a surveyed road. PAVEMAN follows the same logical sequence of the pavement management process. It includes mobile pavement evaluations and data driven maintenance suggestions’ decision trees in addition to priority assessment models. PAVEMAN also projects repair costs and road condition by adopting a data driven deterioration model which considers occurrences of extreme weather events. Each of these components integrates seamlessly with an Oracle database where all the pavement, climate and traffic information reside. PAVEMAN offers a unified solution and an ideal research platform for rapid, intelligent and comprehensive evaluation of tomorrow’s transportation infrastructure performance using heterogeneous sensor systems.
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Supplemental Notes:
- This paper was sponsored by TRB committee ABJ50 Information Systems and Technology.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Shahini Shamsabadi, Salar
- Aleti, Tarun Reddy
- Birken, Ralf
- Wang, Ming
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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: 21p
- Monograph Title: TRB 94th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Databases; Decision support systems; Pavement maintenance; Pavement management systems; Sensors
- Subject Areas: Data and Information Technology; Highways; Pavements; I22: Design of Pavements, Railways and Guideways; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01555253
- Record Type: Publication
- Report/Paper Numbers: 15-5797
- Files: TRIS, TRB, ATRI
- Created Date: Feb 26 2015 10:05AM