Computational intelligence and its role in enhancing sustainable transport systems

DeMontfort University’s (DMU) Centre for Computational Intelligence (CCI) is engaged in a range of programmes applying modern Computational Intelligence (CI) techniques to provide superior analysis of complex real-time data sets that arise within transport systems. Better use of existing transport infrastructures can achieve positive sustainable outcomes, reducing congestion, improving air quality, providing real-time travel information and supporting low carbon vehicles. This is exemplified by the following examples: ITRAQ, an integrated CI system that uses live feeds to determine the optimum use of the road system to reduce congestion and to improve air quality; Sustainable Airport Development Decision Support Systems, a CI based model that interfaces with a GIS system to model the environmental impact of flight paths; The application of CI to solve multi-variable systems, logistics and passenger information; VenusSim, the use of CI to model the dynamics of customer flows in transport terminals.

Language

  • English

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Filing Info

  • Accession Number: 01354629
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 21 2011 7:38AM