Research project

Overcoming Capacity Constraints - A Simulation Integrated with Optimisation for Nodes (OCCASION)

Project overview

OCCASION was a collaboration between TRG and the Schools of Mathematics and Management. The project’s objective was to identify and investigate innovative methods of increasing the capacity of nodes (i.e. junctions and stations) on the railway network, without substantial investment in additional infrastructure. To this end, a state-of-the-art review of recent and ongoing work in this area was conducted, and tools were developed to;

(i) assess existing and predicted levels of capacity utilisation at nodes, thus filling a gap in the current assessment ‘toolbox’, and

(ii) investigate improved options for re-routeing and rescheduling trains, with a view to reducing capacity utilisation levels and making more use of the capacity potentially available, including consideration of the interactions between timetable changes at adjacent nodes.

These tools were used to develop solutions delivering reduced levels of capacity utilisation, and thus increases in capacity and/or service reliability. Incremental changes to existing railway technologies (e.g. improved points) and operating practice (e.g. relaxations of the Timetable Planning Rules) were investigated, as were concepts from other modes (e.g. road and air transport) and sectors (e.g. production scheduling).

The capacity utilisation analysis tools have since been used in collaboration with Arup in the Capacity Charge Recalibration for Network Rail.

Staff

Lead researchers

Professor John Preston

Professor in Rail Transport

Research interests

  • Demand, capacity and cost modelling for sustainable transport infrastructure.
  • The design, monitoring and evaluation of transport interventions designed to promote sustainable choices.
  • The determination of pathways for future mobility transitions to net zero carbon.
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Other researchers

Emeritus Professor Chris Potts

Research interests

  • Combinatorial Optimization, especially scheduling in production and transport
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Collaborating research institutes, centres and groups