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Showing 1 to 3 of 3 for “"network voronoi"”.

  1. Scalable data analytics techniques for summarizing spatial network-based observations

    Summarizing spatial network-based observations (SSNO) entails finding a compact description or representation of large spatial or spatio-temporal datasets. For example, transportation planners and engineers may need to identify road segments that pose risks for pedestrians and require redesign. …

    umn Repository record for Scalable data analytics techniques for summarizing spatial network-based observations (opens in a new tab)

  2. Analyzing Crime on Street Networks: A Comparison of Network and Euclidean Voronoi Methods

    … have the capability to use either Euclidean or network distance. Voronoi diagrams which can be implemented utilizing either Euclidean distance or network distance (distance measured along a street) offer a means for performing this comparison. Utilizing Voronoi diagram implementations with …

    uiuc Repository record for Analyzing Crime on Street Networks: A Comparison of Network and Euclidean Voronoi Methods (opens in a new tab)

  3. Practical military applications of timetabling, path planning, and time-varying networks for maximizing mission success and minimizing risk

    … been submitted and is currently under review by Networks. We build a "threat-additive" approach to measuring the risk incurred by a ship navigating a naval minefield. We employ this approach, both as an integer program and as an A* search, to identify minimum-risk paths that may not be found by …

    colo-mines Repository record for Practical military applications of timetabling, path planning, and time-varying networks for maximizing mission success and minimizing risk (opens in a new tab)