Francesco Corman

Francesco Corman
Prof. Dr.
Francesco Corman
PI
I like to apply control to transport sciences, to improve a system that we use everyday, and whose challenges can be explained to most people.

Francesco Corman holds the chair of Transport Systems at the Institute of Transport Planning and Systems, ETH Zurich. He holds a PhD degree from TUDelft (Netherlands) and worked previously also at KU Leuven (Belgium) and IBM, The Netherlands, in the field of analytics applied to transportation and logistics.

Scientific Publications

Published
Train traffic control in merging stations: a data-driven approach
Transportation Research
Vol 152
Published
Direct multiple shooting for computationally efficient train trajectory optimization
Transportation Research
Vol 152
Published
Heuristics of Set Covering in a Benders Decomposition for Railway Timetabling
Expert Systems with Applications
Vol 159
Published
Integrated speed modeling and traffic management to precisely model the effect and dynamics of temporary speed restrictions to high-speed railway traffic
Transportation Research
Vol 152
Published
Accelerating logic-based Benders Decomposition for Railway Rescheduling by exploiting similarities in delays
Computers and Operations Research
Vol 150
Published
Evaluating the Effects of Disruptions on the Behavior of Travelers in a Multimodal Network Utilizing Agent-Based Simulation
Transportation Reserach Record: Journal of the Transportation Research Board
Published
Modeling and Quantifying Interaction of Information and Capacity in Public Transport Disruptions
Journal of Advanced Transportation
Vol 2021
Published
Enhancing the interaction of railway timetabling and line planning with infrastructure awareness
Transportation Research
Vol 142

Research projects

Title
Principal Investigators

Information-mediated control of pervasively sensed public transport networks during disruptions

Summary

In public transport disruptions, the choice of travelers is only among the alternatives they are aware of. The understanding of the travelers under an unexpected disruptive event is limited, often based on incomplete, untimely information, which causes much frustration, and limits the potential of any optimal disposition timetable, found by optimization methods. This project uses real time information as a pervasive sensing device; determines a framework determining feedback actions, and disseminates transit information to operators and travellers, seen as a pervasive control instrument.

Information-mediated control of pervasively sensed public transport networks during disruptions

In public transport disruptions, the choice of travelers is only among the alternatives they are aware of. The understanding of the travelers under an unexpected disruptive event is limited, often based on incomplete, untimely information, which causes much frustration, and limits the potential of any optimal disposition timetable, found by optimization methods. This project uses real time information as a pervasive sensing device; determines a framework determining feedback actions, and disseminates transit information to operators and travellers, seen as a pervasive control instrument.

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