Reference:
A. Hegyi,
D. Ngo Duy,
B. De Schutter,
J. Hellendoorn,
S.P. Hoogendoorn, and
S. Stramigioli,
"Suppressing shock waves on the A1 in The Netherlands - Model
calibration and model-based predictive control," Proceedings of
the IEEE 6th International Conference on Intelligent Transportation
Systems (ITSC'03), Shanghai, China, pp. 672-677, Oct. 2003.
Abstract:
We now apply the model predictive control (MPC) of speed limits that
we have presented in previous publications - viz., "Shock wave
elimination/reduction by optimal coordination of variable speed
limits," (by P. Breton, A. Hegyi, B. De Schutter, and H. Hellendoorn,
Proceedings of the IEEE 5th International Conference on
Intelligent Transportation Systems (ITSC'02), Singapore, pp.
225-230, Sept. 2002); and "MPC-based optimal coordination of variable
speed limits to suppress shock waves in freeway traffic," (by A.
Hegyi, B. De Schutter, and J. Hellendoorn, Proceedings of the 2003
American Control Conference, Denver, Colorado, pp. 4083-4088,
June 2003) - to a calibrated METANET model of a 19 km stretch of the
real-world freeway A1 in The Netherlands. This freeway regularly
suffers from shock waves originating mainly from on-ramps, and speed
limits are now used to suppress these shock waves. First, we calibrate
and validate the extended METANET model with data from the A1 freeway,
and we use the Delft OD method to estimate the origin-destination
patterns that are needed for the simulation of the destination
oriented traffic. Next, we verify from data whether the necessary
conditions for applying speed limits against shock waves are
satisfied. We show that the MPC controller performs well even under
the assumption that the traffic demand is not known on the on-ramps
and is known for only a few kilometers upstream and downstream of the
controlled stretch. This approach results in an improvement of the
total time spent in the network with about 15%.