NEURAL NETWORKS IN FREEWAY CONTROL
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The authors present a heuristic simulated annealing algorithm to optimize the ramp metering rates in a freeway system in a 3 hour peak period off- line. Following optimization, the authors train a backpropagation neural network to learn the optimized relationship between the ramp metering rates and the traffic variables, and apply the trained neural network to perform freeway ramp control.