Selection of information types based on personal utility: a testbed for traffic information markets
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A Distributed Approach for Coordination of Traffic Signal Agents
Autonomous Agents and Multi-Agent Systems
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An important prerequisite for traffic management is to find efficient ways to model and predict traffic flow. Here we are presenting a naïve model for the route choice adaptation of learning commuters with heuristics based behaviour. Our simulation results show that the heuristics learnt lead to a situation similar to that obtained in real experiments.