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Development of advanced multi-agent control strategies for multi-class traffic networks
||Distributed estimation and control, Model predictive control, Transportation and infrastructure, Multi-level and multi-agent control, Hybrid and nonlinear systems, Model-based control, Old - project will be removed
|This project is part of a larger project "Advanced multi-agent control
and information for integrated multiclass traffic networks"
and aims at developing an innovative control theory
specifically suited to the coordinated control of heterogeneous
traffic flow. General control objectives are to optimize network
efficiency, to minimize safety-critical traffic conditions, and to
minimize societal impacts, by providing class-specific travel
information and traffic control. We combine existing control
design techniques from the fields of distributed and hierarchical
control, supervisory control, model-based control, hybrid systems
control and multi-agent control and apply them to the traffic control
setting sketched above. These techniques will be used to obtain a
structured control design method and adapt them to the typical
characteristics of a traffic system.
Figure: Multi-agent control structure
The figure above illustrates the multi-agent
control framework used in this project. The traffic network is
divided in several possibly overlapping regions, each of which is
controlled by a local control agent. The agents cooperate and
coordinate their actions so as to contribute to the reliable and
robust operation and the performance of the entire system.
Furthermore, we have one or more higher "supervisory" control
In this project we also focus on optimization of the interaction
between the urban network and the motorways, by dividing the networks
into subregions. Besides being class-specific, integrated and
coordinated, another characteristic is that the developed traffic
control systems will be anticipatory (i.e., adaptive and predictive).
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