A GIS-based decision support system for analysis of route choice in congested urban road networks

Yi-Hwa Wu, Harvey J. Miller and Ming-Chih Hung
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Yi-Hwa Wu: Digitally Integrated Geographic Information Technologies (DIGIT) Laboratory, University of Utah 260 S. Central Campus Dr. Room 270, Salt Lake City, UT 84112-9155, USA (e-mail: {wu.yi-hwa,harvey.miller,mhung}@geog.utah.edu
Harvey J. Miller: Department of Geography, University of Utah
Ming-Chih Hung: Digitally Integrated Geographic Information Technologies (DIGIT) Laboratory, University of Utah 260 S. Central Campus Dr. Room 270, Salt Lake City, UT 84112-9155, USA (e-mail: {wu.yi-hwa,harvey.miller,mhung}@geog.utah.edu

Journal of Geographical Systems, 2001, vol. 3, issue 1, 3-24

Abstract: Abstract. Urban congestion patterns have become ubiquitous and complex. Traditional, “static” approaches are no longer adequate for analyzing network flows and conducting minimum cost routing. This paper reports on a GIS-based decision support tool for modeling dynamic network congestion and conducting minimum cost routing. The system predicts network flows at a detailed level of temporal resolution, capturing dynamic congestion propagation effects. A Route Planner module solves for the combined departure time and minimum cost routing required for a trip to reach its destination by a given deadline. The GIS provides effective decision support through its database management capabilities, graphical user interfaces and cartographic visualization. This supports analyses of “what-if?” scenarios for strategic planning and tactical management subject to unplanned network disturbances.

Keywords: Key words: Transportation; congestion; shortest path; spatial decision support; JEL classification: R40; R41; C61 (search for similar items in EconPapers)
Date: 2001
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DOI: 10.1007/PL00011466

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