![]() For example, how can a one determines if their vision is blocked by obstacles in this context of finding the best route, how do we know if a route touches a grid point? Equipped with the knowledge that there's pretty much an algorithm for everything, we turn to Bresenham's line drawing method.īresenham's line algorithm is a line drawing algorithm that determines the points of an n-dimensional raster that should be selected in order to form a close approximation to a straight line between two points.Ĭomputer graphics work in units of pixels, so we can see how this path finding algorithm originated from the need to shade in pixels graphical operations. Taking on the second and third solutions requires leveraging external resources - we can reframe this problem as one that involves determining the line-of-sight. Calculate the average of risk scores based upon grid coverage of each step of the route to get to the destinationĬompleting the first solution isn't too complicated - in short, you have coordinates for each grid point and finding the grid point that is closest your destination to obtain its risk score involves finding the one with shortest Euclidean distance (here we use a linearized method and assume there's no curvature between points for simplicity).įigure 5: Euclidean distance between points a and b.Calculate the average of risk scores based upon grid coverage of the straight-line path from origin to destination.Determine overall route safety-ness solely by the risk score associated with the destination.The application should complete these tasks for the user, and thus we've come to the crux of the problem: How can we determine the safety-ness of routes?Īgain, working our way from simple to more complex solutions, we can: However, in times of where the user is in stress and needs to make a decision immediately, such cognitive abilities come as a luxury (this is akin to determining which route to take with only traffic data provided). Prioritizing the overall route safety-nessĬomputing the risk associated with taking each route and finding the safest using heatmap analysis to prevent sexual harassment cases.Looking at this, one can simply make a decision on where to go by: Figure 4: Nearby hospitals within 800 meters walking distance of Point AĪs you can see, various hospital locations are located within 800 meters however, it is quite intuitive to any user looking at this to avoid the top-side locations, since the risk scores are higher (illustrated by warmer colors).
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