NEURAL NETWORKS IN FREEWAY CONTROL

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.