Control and Transportation Group

Main Thematic Areas:

Control Systems, Intelligent Transportation Systems, Complex Networks, Vehicular Ad-Hoc Networks, Automation

Contact/Lead Person(s):

Dr. Marios Lestas

Team/Unit/Lab Website:

 


Description of the main research interests and activities of the team/lab:

The research team is engaged in high quality research, on topics pertinent to the application of advanced control methods and optimization theory on complex systems such as computer networks, transportation networks and power networks. Novel automation techniques on home and industrial applications through the use of Programmable Logic Controllers (PLCs) are also investigated.

Furthermore, the research team is addressing a number of practical and theoretical issues on the design and analysis of congestion control algorithms for computer networks: new protocols are being developed based on algorithms whose stability and performance properties have been established analytically.

Particular emphasis has been placed on emerging network technologies such as vehicular ad hoc networks.

Description of the main equipment/facilities available:

Matlab is being used for general modeling and simulation of dynamical systems. The VISSIM software is utilized to model major parts of the transportation network and the ns-2 software is being used to model the networking aspects of the systems under consideration. In terms of hardware, the team is using the equipment in the control lab (linear system, torsional system, magnetic levitation system, gyroscope), a set of SIEMENS PLCs enhanced with a wireless communication unit and a radar based sensor which can obtain real time traffic measurements.

Research Projects Experience:

The team is actively involved in the development of a number of new information dissemination schemes which can facilitate the fast and reliable transfer of data within the network. A speed adaptive probabilistic flooding scheme has been developed which broadcasts emergency messages in the vicinity of an unexpected event (i.e. traffic accident). A hovering protocol has been developed which maintains the emergency messages in a confined geographical area for a specific time interval.

The team is also investigating a number of issues pertinent to the deployment of Intelligent Transportation Technologies. Part of the Cyprus Transportation Network is being modeled using microscopic simulation tools. Techniques such as ramp metering, variable speed limits, bus rapid transit and traffic signal priority are being investigated.

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