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UNThis visual breaks down bidirectional Dijkstra’s algorithm, a method that finds the shortest route by searching from both the start and the destination at the same time. When the two searches meet in the middle, it cuts down computation and makes the process much faster.
To do this, navigation apps treat roads like a graph. Intersections become nodes, roads become edges, and each path is weighted based on distance or travel time. Modern systems go further with algorithms like A*, adding real-time data like traffic, road closures, and driving conditions.
That’s why the “fastest” route isn’t always the shortest one. Traffic, speed limits, and other factors can change the path, sometimes sending you on routes that feel unexpected but are actually more efficient.
It’s a great example of how complex algorithms quietly run behind the scenes of everyday tools.
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