Prof. Dr. Francesco Corman | Transport Systems
His research focuses on five main research areas:
- the measurement, observation, and description of public transport-systems performance in operational conditions;
- prediction and optimization methods for transport systems, including public-transport systems for the mobility of people; transport systems for the mobility of goods; the interaction with walking and cycling traffic, and human-powered mobility;
- the energy efficiency and (partially) autonomous operations of train systems;
- determining conditions to increase the value of transport systems by better monitoring and maintenance;
- determining impact and corrective actions in real-life public-transport systems given recurrent or exceptional perturbations by means of surveys and experiments, game theory, and agent-based models.
DADA: Dynamic Data Driven Approaches for Stochastic Delay Propagation Avoidance in Railways
Reducing railway delays, their variability and propagation, considering operations as stochastic processes, explicitly considering current and possible future delays The goal of this project is to develop a set of interconnected algorithmic
OMISM: On board Monitoring for Integrated Systems Understanding & Management Improvement in Railways
Understanding what to measure, and how to model it, to deliver value in railway predictive maintenance The goal of this project is to shift the current condition assessment and monitoring paradigm for
Towards Autonomous Driving Trains in Mixed Traffic Networks: Setups and Optimization Methods for Energy Efficient Driving and Integration into Traffic Management Systems
While driving the train, the driver’s primary goals are to ensure safety; maintain the schedule of the service; and if the above are covered, improve energy efficiency of service delivery and passenger
SMARTIES: Scheduling Methods for Automated Railway Timetabling Improving the Efficiency of Smartrail
Future demand in public transport is prognosticated to increase significantly. To manage the additional demand in transportation the Swiss Federal Railway SBB has launched the SmartRail 4.0 programme. In the context of