| This project is part of the BSIK-TRANSUMO ATMA (Advanced Traffic Management)
project and aims at further developing and applying advanced
model-based predictive traffic control techniques with practical
implementation and assessment in a real-life case study or field
test as the ultimate goal.
The theoretical basis of the contribution is the work of Papageorgiou on
optimal traffic control and the work of Hegyi, De Schutter and Hellendoorn on
model predictive traffic control. More specifically, in the PhD work of Hegyi a
generic on-line, real-time traffic control approach has been developed that
uses a traffic flow model in combination with numerical optimization to
determine optimal traffic control signal settings, which are then
applied to the traffic network using a receding or rolling horizon
approach. The approach proposed by Hegyi allows integrated and
coordinated network-wide control of various traffic control measures
(such as ramp metering, traffic signals, variable speed limits,
dynamic route guidance, etc.). Moreover, the approach allows
to include various hard constraint s (maximal queue lengths, maximal
and minimal metering rates, maximum cycle times, ...), and allows a
balanced trade-off between the urban and freeway parts of a network.
The main aim of the proposed research is to further extended this approach so
as to make it ready for implementation in practice, and then to really
implement and assess this model-based traffic control approach in
one of the three test regions of ATMA. In this context some
theoretical issues will also have to be addressed, such as stability,
robustness, efficient implementation, trade-off issues, adaptive
re-estimation and re-identification, and scalability.
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