Unmanned Aerial Vehicles (UAVs) are experiencing increasing use in many applications and are expected to operate in Beyond Visual Line of Sight (BVLOS) conditions. Due to the volume of UAVs and types of aircraft expected to share the airspace, novel approaches for path planning are necessary to ensure their safe integration.
TSL is part of a collaborative project that was awarded a government grant worth £2m, seeking to model how Londoners might respond to fleets of self-driving, shared vehicles alongside existing transport options in London.
Dynamic trip pricing methods are commonly used by ridesharing companies (eg. Uber, Lyft) to manage customer behaviour and to incentivise driver participation. These methods have been described as an economist’s dream, given their unique ability to capture the dynamics of balance between supply and demand in urban transportation.
Dr Marc Stettler and Dr Panagiotis Angeloudis from the Centre for Transport Studies were commissioned by the UK Government Office of Science (GoS) to provide inputs to the Future of Mobility review, part of the Foresight Programme.
TSL has developed a mathematical model that designs and evaluates humanitarian missions that utilise Unmanned Aerial Vehicles. This work is featured in a new publication.
UAVs have enjoyed widespread adoption in the humanitarian sector in recent years, particularly for applications such as damage assessment and aerial monitoring.
Between 2015 and 2017, TSL was part of the ESRC-funded Strategic Network on Data and Cities as Complex Adaptive Systems (DACAS), which brought together researchers from a range of different fields, including architecture, environmental economics and theoretical physics.