|‘Intelligent Virtual Network’ – modelling railway network connectivity, reliability and capacity|
|Supervisors: David Fletcher & Professor Rob Harrison|
This research focuses on developing a ‘virtual transport network’ for trialling ways to improve railway transport through better understanding of network connectivity, reliability and capacity. Improving rail network performance requires answers to many questions, such as:
Trialling potential changes to the rail network on the live system could cause huge disruption. In this project research will be conducted to develop a standard, validated, virtual rail network as a simulation tool - a framework within which traffic management strategies and equipment (infrastructure, signalling, vehicles) of differing characteristics and reliability can be tested and compared.
A strong mathematical background, and an ability and interest in programming (e.g. Matlab or C) will is desirable. Methods may include autonomous agent modelling, graphical modelling and game theory, and will build on existing research regarding network optimisation for time keeping and energy use reduction.