Feedback-feedforward Signal Control with Exogenous Demand Estimation in Congested Urban Road Networks
CoRR(2023)
摘要
To cope with varying and highly uncertain traffic patterns, a novel
network-wide traffic signal control strategy based on the store-and-forward
model of a traffic network is proposed. On one hand, making use of a single
loop detector in each road link, we develop an estimation solution for both the
link occupancy and the net exogenous demand in every road link of a network. On
the other hand, borrowing from optimal control theory, we design an optimal
linear quadratic control scheme, consisting of a linear feedback term, of the
occupancy of the road links, and a feedforward component, which accounts for
the varying exogenous vehicle load on the network. Thereby, the resulting
control scheme is a simple feedback-feedforward controller, which is fed with
occupancy and exogenous demand estimates, and is suitable for real-time
implementation. Numerical simulations of the urban traffic network of Chania,
Greece, show that, for realistic surges in the exogenous demand, the proposed
solution significantly outperforms tried-and-tested solutions that ignore the
exogenous demand.
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