A predictive traffic controller for sustainable mobility using parameterized control policies


Reference:
S.K. Zegeye, B. De Schutter, J. Hellendoorn, E.A. Breunesse, and A. Hegyi, "A predictive traffic controller for sustainable mobility using parameterized control policies," IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 3, pp. 1420-1429, Sept. 2012.

Abstract:
We present a freeway-traffic control strategy that continuously adapts the traffic control measures to the prevailing traffic conditions and that 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 parameterize the control input sequences. In this way, the computational burden of the controller is reduced substantially. We demonstrate the proposed control approach on a calibrated model of a part of the Dutch A12 freeway using variable speed limits and ramp metering rate.


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Bibtex entry:

@article{ZegDeS:12-005,
        author={S.K. Zegeye and B. {D}e Schutter and J. Hellendoorn and E.A. Breunesse and A. Hegyi},
        title={A predictive traffic controller for sustainable mobility using parameterized control policies},
        journal={IEEE Transactions on Intelligent Transportation Systems},
        volume={13},
        number={3},
        pages={1420--1429},
        month=sep,
        year={2012},
        doi={10.1109/TITS.2012.2197202}
        }



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