Impact of Intelligent Mobility

The public has a high expectation of the benefits of future transport systems in terms of safety, mobility, environmental impact and costs.

What will the safety benefits of Connected Autonomous Vehicles (CAVs) be? What levels of automation are the most cost effective? What policies should cities and countries adopt to maximise the benefits of CAVs?

Our research seeks to forecast the future impact of intelligent mobility systems across the short, medium and long terms. It is used by public administrations to inform their policy-making and decisions.

underground driving

‌Our research uses simulation, econometric methods and experimental approaches to forecast the benefits of intelligent mobility technologies. Traffic models using micro, meso and macro-simulation tools are frequently used and we are deploying new methods to combine simulation of specific vehicle technologies within micro-simulation environments.

More specifically, our researchers investigate four areas:

  • Safety: e.g. changes to total number of crashes, number of road users killed or seriously injured, economic value of crashes, changes to types of risks.
  • Mobility: e.g. congestion, traffic efficiency, journey times.
  • Environment: e.g. emissions energy consumption, resource consumption, infrastructure wear.
  • Society: e.g. land use, employment, privacy, skills, accessibility, behaviour.


Levitate: Societal impacts of Connected and Automated Transport Systems