The uptake of Electric Vehicles (EVs) is rapidly changing the landscape of urban mobility services. Transportation Network Companies (TNCs) have been following this trend by increasing the number of EVs in their fleets.
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.
Urban evacuations are crucial life-saving procedures that take place in response to the thread or occurence of major disasters, aiming safely relocate large population groups to safe areas. Evacuation planning involves the consideration of financial, operational and managerial aspects of the process, and necessitates an understanding of human behavior.
Dr Panagiotis Angeloudis was appointed by the UK Transport Secretary Rt Hon Chris Grayling to serve at the Expert Panel of the landmark Maritime 2050 review exercise.
During 2018, the panel worked with industry, academia and policy makers to support the design of a government strategy that maintains the country’s leading position in global shipping industry.
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.
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.
Our team has been studying the design of modular construction supply chains, with emphasis on performance under conditions of operational uncertainty. The outcomes of our research have been featured in our recent articles published in the Journal of Automation in Construction [1], [2].
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.
The Transport Systems and Logistics Laboratory developed a Logistics Masterplan for the Wuhan Logistics Cluster (WLC), commissioned by China’s National Development and Reform Commission on behalf of the Wuhan Province. The TSL team was led by Dr Panagiotis Angeloudis, who was joined in the study by Dr Simon Hu, Dr Konstantinos Zavitsas and Dr Khalid Bichou.