Abstract
Managing traffic in cities is nowadays a complex problem involving considerable physical and economical resources. multi-agent, Systems (MAS) consist of a set; of distributed, usually co-operating, agents that, act autonomously. The traffic in a city can be simulated by a MAS with different agents, cars and traffic lights, that interact to obtain an overall goal: to reduce average waiting times for the traffic risers. In this Paper, we describe an agent-based simulator to model traffic in cities. Using this simulator, we present a sell-organizing solution to efficiently manage urban traffic. We compare our proposal with recent approaches, providing better results than classical and alternative self-organizing methods, with lower resources and investments.
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