Smart Mobility

This theme centres on multimodal transport systems.

By leveraging big data and artificial intelligence for smarter transport planning, management, operation, and control we can enhance mobility for everyone.

Our research excels in transport simulation, digital twinning and machine learning approaches for scenario testing and optimisation. We aim to improve traffic management, reduce emissions and enhance transport services.

Research highlights

UKRI Future Leaders Fellowship

This UKRI Future Leaders Fellowship - MULTIMODAL urban transport: integrated modelling and simulation towards net-zero, inclusive mobility - is developing the first multi-scale digital twin for the transport-people-emission nexus.

UKRI project overview

TraffEase AI

Manchester Prize finalist, TraffEase AI, aims to help city authorities effectively plan and manage transport.

About TraffEase AI

Smart Mobility Theme Lead

Haitao He

Dr Haitao He

Reader in Transport and AI

Architecture, Building and Civil Engineering