Intelligent Simulation and Modelling
This group investigates some fundamental issues of modelling complex real-life systems. In particular, our research involves:
- the study of the relationships between information and uncertainty
- development of granular models of systems (as exemplified by the models of urban sustainability)
- investigation of logic-driven processing of information granules
- investigation of formal mathematical frameworks for the representation of uncertainty including the investigation of interoperability and collaboration between information granules.
In the field of transport informatics, work by the group involves the application of mathematical models for traffic simulation and modelling and the investigation of uncertainties for producing accurate real-time predictions of the traffic flow.
The group is actively involved in collaborative research with several leading research centres in Europe, America and Japan. Peer recognition of this work involves several visiting professorship appointments and the chairmanship of the European Council for Modelling and Simulation.
Academic staff
Dr Evtim Peytchev, Dr Richard Cant, Dr Joanne Hartley, Dr Ahmad Lotfi and Dr Taha Osman.


