The underlying research mission of the MobiLab team is to gain an understanding of how complex transportation networks behave and in turn can be managed/optimised. This involves:
- Studying human behaviour, which affect traffic and transport at the operational (driving behaviour and its impact on efficiency, comfort and safety), at the tactical (choices like which mode, at what time to travel, which route, etc.) and strategic levels involving long-term decisions (residence, car ownership, etc.);
- Modelling transport and mobility patterns as a complex multi-layered, multi-modal and multi-objective network design problem using advanced dynamic models that consider activity-travel choices, traffic propagation dynamics, as well as innovative Intelligent Transport Systems for dynamic monitoring and management.
- Optimising the supply system, i.e. how can transportation services be optimised to handle the demand considering the inherent dynamics occurring at both daily and weekly time periods due to variable mobility patterns of the transportation users.
Our research domains
Intelligent Transportation Systems
Public Transportation Optimisation