Intelligent Transport-Energy Systems Lab

Connecting transport, energy, and people through spatial intelligence.

iTES Lab develops data-driven research, spatial machine learning, and decision-support tools to understand how transport systems and energy infrastructure interact in a rapidly electrifying and climate-vulnerable world.

Our Capabilities

EV Charging and Energy Flexibility

Understanding how charging behaviour and mobility patterns can reduce pressure on power networks and support low-carbon energy systems.

Transport Infrastructure Resilience

Assessing how rail, underground, and EV charging networks can adapt to climate risk, extreme weather, power disruption, and uneven spatial impacts.

EV Charger Planning and Accessibility

Identifying where public charging is needed, who is underserved, and how charger rollout can better align with equity, mobility needs, and grid readiness.

Shared Charging and Community Access

Investigating how peer-to-peer charger sharing and community charging models can complement public infrastructure, improve access in underserved areas, and create shared local benefits.

Charging Demand Prediction

Forecasting short- and long-term charging demand to inform flexible charging, infrastructure planning, and the impacts of smart tariffs, V2G, and future mobility-energy scenarios.

Charging User Experience

Using large language models and user feedback to understand charging experiences, reveal service barriers, and improve the quality, reliability, and accessibility of EV charging services.