Railway Traffic Management

Railway timetabling:

• Microscopic and macroscopic rail traffic simulation models

• Timetable design techniques and optimization models

• Timetable assessment using microscopic simulation

• Energy-efficient train operation

Real-time railway traffic management:

• Driver Advisory Systems

• Disruption management

• Train delay prediction and analysis using a statistical train delay analysis tool

• Railway traffic management systems

• Conflict detection and resolution

• Simulation-based assessment of traffic management strategies

This elective will include discussions about societal impacts of advanced tools and techniques for train service planning and management. Students will be aware of responsibilities and ethical implications in using automated decision support systems in rail traffic planning/management practice. Roles and responsibilities of railway stakeholders in planning / managing rail traffic will be tackled together with interaction processes during nominal and degraded operational conditions.