Reference:
M. van den Berg,
B. De Schutter, and
H. Hellendoorn,
"Integrated model predictive control for mixed urban and freeway
networks," Proceedings of the 8th TRAIL Congress 2004 - A World of
Transport, Infrastructure and Logistics - Selected Papers (P.H.L.
Bovy, ed.), Rotterdam, The Netherlands, pp. 27-49, Nov. 2004.
Abstract:
We develop a control method for networks containing both urban roads
and freeways. Existing control systems often target only one of the
two road types. In urban areas intersections are optimized locally,
and on the freeways only the freeway traffic is taken into account.
But the two are closely connected: congestion on the freeway often
causes spill back of urban queues, slowing down the urban traffic, and
vice versa. As a consequence, control measures taken in one of the two
areas can have significant influence on the other area. The method
that we develop integrates the control for urban roads and freeways,
to prevent the negative influences as much as possible, and to be able
to exploit the positive influences. The method is based on model
predictive control, and requires a model of the traffic. So we first
present a model that is able to describe the urban traffic, the
freeway traffic, and the interface in between. Next we develop the
control structure that is used for the integrated control. The
differences between integrated control and local optimized control are
shown with a synthetic case study.