COMPUTATIONAL INTELLIGENCE AND ITS ROLE IN ENHANCING SUSTAINABLE TRANSPORT SYSTEMS

Author(s)

Eric Goodyer - DeMontfort University, Centre For Computational Intelligence, The Gateway, Leicester, LE1 9BH, UK -

Samad Ahmadi - DeMontfort University, Centre For Computational Intelligence, The Gateway, Leicester, LE1 9BH, UK -

Francisco Chiclana - DeMontfort University, Centre For Computational Intelligence, The Gateway, Leicester, LE1 9BH, UK -

David Elizondo - DeMontfort University, Centre For Computational Intelligence, The Gateway, Leicester, LE1 9BH, UK -

Mario Gongora - DeMontfort University, Centre For Computational Intelligence, The Gateway, Leicester, LE1 9BH, UK -

Ben Passow - DeMontfort University, Centre For Computational Intelligence, The Gateway, Leicester, LE1 9BH, UK -

Yinjie Yang - DeMontfort University, Centre For Computational Intelligence, The Gateway, Leicester, LE1 9BH, UK -

Abstract

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.