Hello,
We've been familiarizing ourselves with the model presented in the dev talk by @anthony.johnson , and we think we understand ok. Then, we downloaded the Kiva System Demo Model uploaded by @Markus Cueva , which we're starting to explore. We're wondering what the pros and cons are of using AStar or AGV to build the layout and eventually control the paths and approach deadlock problems when scaling up the model.
Any advice is appreciated.
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If you are dealing with deadlocks, you have to think about a different tool, too. It is the agent system. In an autonomous system you can define dynamically a zone of common mutual interest for agents entering and leaving these zones. Each member of a zone gets a priority to be allowed to pass through directly or be diverted around other members because of its lower priority. A priority is a composition of: age since travel start, distance to destination, amount of nearby active zones, intersection of zones, transports of priority, members of a zone, member moving direction in a zone, …
These zones are moving around over your map. They are themselves free agents. If a population of zones increases in an area, there must be rules to limit them in this area. I mean you divert them to keep a distance between them. The result must be to keep an minimum of available nodes in any zone in any time always.
It would be an interesting research to find an optimum for a density of available nodes in zones of mutual interest in relation of members of a zone and zone size.
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