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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2002: Developments in Applied Artificial Intelligence pp 628–637Cite as

A GIS-Integrated Intelligent System for Optimization of Asset Management for Maintenance of Roads and Bridges

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2358))

Abstract

Geographic information systems (GIS) and Artificial Intelligence (AI) techniques were used to develop an intelligent asset management system to optimize road and bridge maintenance. In a transportation context, asset management is defined as a cost-effective process to construct, operate, and maintain physical capital. This requires analytical tools to assist the allocation of resources, including personnel, equipment, materials, and supplies. One such tool, artificial intelligence (AI), is the creation of computer programs that use human-like reasoning concepts to implement and/or improve a process or task. This paper presents “heuristic” or “experience” based AI methodologies to optimize transportation asset management procedures. Specifically, we outline and illustrate a GIS-based intelligent asset management system using the case study of snow removal for winter road and bridge maintenance in Iowa, USA. The system uses ArcView GIS to access and manage road and bridge data, and ART*Enterprise, an AI shell, for the user interface.

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Author information

Authors and Affiliations

  1. Construction Management, University of Northern Iowa, Cedar Falls, Iowa, 50614-0178, USA

    M. D. Salim & Michael Emch

  2. Department of Geography, University of Northern Iowa, Cedar Falls, Iowa, 50614-0406, USA

    Tim Strauss

Authors
  1. M. D. Salim
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  2. Tim Strauss
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  3. Michael Emch
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Editor information

Editors and Affiliations

  1. Centre for Intelligent Systems and Complex Processes, Swinburne University of Technology, John Street, Hawthorn, Victoria, Australia, 3122

    Tim Hendtlass

  2. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666, USA

    Moonis Ali

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© 2002 Springer-Verlag Berlin Heidelberg

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Salim, M.D., Strauss, T., Emch, M. (2002). A GIS-Integrated Intelligent System for Optimization of Asset Management for Maintenance of Roads and Bridges. In: Hendtlass, T., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2002. Lecture Notes in Computer Science(), vol 2358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48035-8_61

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  • DOI: https://doi.org/10.1007/3-540-48035-8_61

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43781-9

  • Online ISBN: 978-3-540-48035-8

  • eBook Packages: Springer Book Archive

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