Topic: Computational Intelligence in Transport and Logistics

Description: Transportation intelligence has recently become a priority research topic in many countries due to, not only its capability to significant reduce cost, but more importantly, its benefit to lessen environmental impact where the transport industry currently contributes around 25-30% of global CO2 emissions. Reducing CO2 emissions in transport is becoming a critical part of world-wide efforts to tackle global warming.

This ambitious project addresses some of the most challenging computation problems faced in transport, logistics planning and optimisation, particularly those problems with a dynamic and/or stochastic nature which have not received sufficient research attention. The project aims to develop innovative models and systems that take advantage of latest developments in intelligent computing, GPS, GIS as well as ubiquitous computing technologies. Such a system will be able to react dynamically to different problem scenarios and will enable users to automate and optimise transportation networks and day-to-day scheduling, improve service satisfaction, reduce unnecessary trips made by empty vehicles, reduce traffic congestion and energy consumption.