TSL has developed a stochastic mathematical model that designs city-wide wireless charging infrastructure.
The transport industry contributes over a quarter of all UK greenhouse gas emissions in the UK, with most of it produced by road vehicles.
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.
There has long been a need to understand how cargo flows are structured within the global container shipping market, which accounts for over 90% of non-bulk worldwide cargo, and has been instrumental in the rise of globalisation and modern economy.
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.
TSL developed a model to inform a multi-modal construction logistics strategy for the tunnelling works in the Thames Tideway and Northern Line Extension projects. The project was commissioned by Laing O’Rourke in 2013 and was carried out over 12 months.
TSL has been developing a resilience assessment framework for interdependent urban infrastructure networks, with an initial focus on urban rail networks and their dependencies upon power and communication networks. This research is led by TSL researcher Nils Goldbeck and is featured in a recent publication with the journal of Reliability Engineering & System Safety.