Reference:
S. Lin,
B. De Schutter,
A. Hegyi,
J. Hellendoorn, and
Y. Xi,
"On a spatiotemporally discrete urban traffic model," Proceedings
of the 18th IFAC World Congress, Milan, Italy, pp. 10697-10702,
Aug.-Sept. 2011.
Abstract:
In order to control urban traffic with model-based control methods, a
proper traffic model is very important. This traffic control model
needs to have enough descriptive power to reproduce relevant traffic
phenomena, and it also has to be fast enough to be used in practice.
Therefore, macroscopic urban traffic flow models are usually applied
as control models. These models are normally sampled temporally and
spatially into discrete models so as to be simulated using digital
computers. In this paper, a spatiotemporally discrete urban traffic
model with a variable sampling time interval is proposed for
model-based predictive control, which allows to balance modeling
accuracy and computational complexity. The model is analyzed and
evaluated based on the model requirements for control purposes. In
addition, conditions are given to selecting suitable sampling time
intervals for the models that are used to control urban traffic
networks.