We present a freeway-traffic control strategy that continuously adapts traffic control measures to prevailing traffic conditions and features faster computation speed than conventional model-based predictive control (MPC). The control approach is based on the principles of state feedback control and MPC. Instead of computing the control input sequence, the proposed controller optimizes the parameters of control laws that parametrize the control input sequences. This way, the computational burden of the controller is substantially reduced. We demonstrate the proposed control approach on a calibrated model of part of the Dutch A12 freeway using variable speed limits and ramp-metering rate.
A Predictive Traffic Controller for Sustainable Mobility Using Parameterized Control Policies
IEEE Transactions on Intelligent Transportation Systems ; 13 , 3 ; 1420-1429
2012-09-01
493320 byte
Article (Journal)
Electronic Resource
English
A Predictive Traffic Controller for Sustainable Mobility Using Parameterized Control Policies
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