Author(s)

N. Findler

Abstract

Knowledge based approach to urban traffic control N. Findler Department of Computer Science and Engineering, and Artificial Intelligence Laboratory, Arizona CASVL ABSTRACT We present the general design of a system to control urban street traffic signals. It is based on cooperating, learning, real- time, distributed expert systems. We also describe the operation of a running prototype program which, while using several simplifying assumptions, has proven the technical feasibility of the approach. It has also attained a 36% improvement in the traffic flow under non-saturated conditions. Current developments include the design of a general-purpose system that can be customized to most street configurations. Finally, we draw conclusions concerning the distributed planning and problem solving methodology. INTRODUCTION Traffic engineers have been using different tools of mathema

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