Computational Sustainability


Computational Sustainability

Our research is developing tools for assessing sustainable approaches to transport management and operations that simultaneously consider technical, social, environmental and economic aspects.

Health Impacts of Transport Connectivity
Finding new methods to quantify the risks associated with global transport with regards to contagion and importation and improve associated management and surveillance approaches.

Real-time Eco-friendly Traffic Management
Developing tools that manage network traffic flows while considering environmental impacts in addition to traditional measures of traffic performance.

Electric Vehicle Charging
Finding accurate methods of quantifying the positive and negative impacts of EVs on emissions considering a region’s specific energy mix, dynamic traffic patterns, driver behaviour and traffic unpredictability.