Abstract
We first describe and justify the domain in which cooperating and learning real-time distributed expert systems perform control operations of urban street traffic signals. We then present the general design of the ultimate system as well as the simplifying assumptions used in a running prototype. The latter, proving the technical feasibility of the approach, has attained a 42% improvement in the traffic flow under non-saturated conditions. Finally, we draw some conclusions concerning the methodology of distributed planning and problem solving systems.
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