Improving the Cost-Performance Tradeoff in Traffic Control Using Autonomous Intelligent Agents

Wayne Iba

The task that we pose is to improve the overall efficiency of traffic flow in urban settings. More specifically, we want to find an ideal tradeoff between the efficiency of traffic flow and the costs of development, acquisition, installation, and maintenance of the necessary physical upgrades. In order to select the appropriate tradeoff, we must identify the significant sources of improvement (over current traffic-control systems), quantify the resulting improvements, and determine the fiscal impact of implementing these improvements. We recognize that current safety requirements must be strictly maintained and assume that they are not subject to any tradeoff.


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