Geo-Dynamic Decision Support System for Urban Traffic Management

  • Jan KazakEmail author
  • Mieczysław Chalfen
  • Joanna Kamińska
  • Szymon Szewrański
  • Małgorzata Świąder
Conference paper
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


The paper presents the geo-dynamic decision support system (DSS) for urban traffic management issues. For this purpose, ArcGIS and Tableau softwares were used. Additionally, a self-defined transportation model based on Dijkstra’s algorithm was created. The use of our own calculation model allowed for the full accessibility to all parameters of the analysed scenarios which was one of the key assumptions of the research. Functionality of the proposed DSS was tested on three scenarios. Each scenario presents congestion on the road network after the conclusion of events in main landmarks in Wrocław (Poland): the city stadium, the National Forum of Music and the Centennial Hall. The proposed DSS allows for dynamic analysis of urban traffic, including recalculation processes according to the changing congestion on a road network. Moreover, cumulative urban traffic assessment allows you to define hot spots on a network, which should be especially monitored by public services. An interactive dashboard reduces technical details of an analysis which helps to avoid the cognitive problems of the decision making process for a layman. The results prove the feasibility of the integration of the ArcGIS, self-defined transportation model and Tableau. The proposed solution enables full access to the transportation analysis’ assumptions, as well as the use of a simple and intuitive interactive dashboard for the decision making process.


Urban traffic modelling Dijkstra’s algorithm Tableau Decision support system Visual data analysis 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Jan Kazak
    • 1
    Email author
  • Mieczysław Chalfen
    • 2
  • Joanna Kamińska
    • 2
  • Szymon Szewrański
    • 1
  • Małgorzata Świąder
    • 1
  1. 1.Department of Spatial EconomyWrocław University of Environmental and Life SciencesWrocławPoland
  2. 2.Department of MathematicsWrocław University of Environmental and Life SciencesWrocławPoland

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