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.
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Received: 1 October 1999/Accepted: 21 September 2000
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Wu, YH., Miller, H. & Hung, MC. A GIS-based decision support system for analysis of route choice in congested urban road networks. J Geograph Syst 3, 3–24 (2001). https://doi.org/10.1007/PL00011466
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DOI: https://doi.org/10.1007/PL00011466