The transport sector is a key contributor to environmental pollution and energy consumption. Urban road transport is regarded as the most segments, with negative externalities arising from the high density of traffic and consistent stop-and-go operational patterns in chronically congested networks. This project will develop feasible interventions to minimise emissions on urban transport networks, specifically, through the application of advanced traffic management techniques and the newest innovations in Connected and Autonomous vehicle (CAV) technologies.

The project aim will be delivered through 2 objectives:

1. We will quantify baseline transport emissions and energy usage patterns for all transport modes and sectors for the nominated case study urban networks of London and Munich, and

2. We will develop, evaluate, and recommend cooperative driving controllers, with a specific focus on minimising transport emissions and energy consumption, integrating the latest advancements in connected and autonomous vehicle technologies. 

   The project will leverage the expertise of the Technical University of Munich (TUM) and Imperial College London (Imperial). Imperial possesses expertise in modelling CAV technologies while TUM possesses extensive expertise in transport network modelling at a meso- and macro- scale, and will therefore lead the scaling up of the microscopic outputs produced by ICL to an urban network level. Follow on activities could look at interventions for low to middle income developing countries.