Here is a WIP video demonstrating my (almost) finished Collision Avoidance and Dynamic Path Detection/Selection frameworks.
In the video, the red and green cars (currently using cubes as placeholders) are configured to try and drive at 1.0 x the scene's global maximum vehicle speed (currently 10 units per second). The blue car is configured to drive slightly slower, at 0.75 of the max speed. The faster vehicles will travel at their maximum speed until they come into range of the slower vehicle, whereby they slow down until it is no longer within their 30-degree FOV, then they speed back up to their original speed.
Whilst navigating around the scene, the vehicles detect which curves begin at their current position. This enables them to detect which curve to move onto next, and in the case of branching paths, allows them to select an option at random to give the impression of conscious thought. This means when road systems are built, the user will not have to manually tell the tool which street connects to which - the vehicles will be able to automatically navigate of their own accord.
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