| EPSRC Reference: |
GR/S20949/01 |
| Title: |
Robust rail driver schedules planning and delay recovery |
| Principal Investigator: |
Kwan, Professor RSK |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Sch of Computing |
| Organisation: |
University of Leeds |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 2003 |
Ends: |
30 September 2006 |
Value (£): |
207,617
|
| EPSRC Research Topic Classifications: |
| Intelligent & Expert Systems |
Transport Ops & Management |
|
| EPSRC Industrial Sector Classifications: |
| Transport Systems and Vehicles |
|
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
This project aims at improving the reliability of the UK rail services through a comprehensive model of rail driver delays and a new class of scheduling algorithms that would optimise on robustness against delays and adapt the driver schedules to recover when delays have actually occurred. Prototype systems will be built and tested to validate and evaluate the model and the algorithms developed. Extensive collaboration with the rail industry will be pursued. There are three main types of rail driver scheduling scenario to be considered: advanced medium-term planning (e.g. schedules to be operated regularly for the next six months); advanced short-term schedule revision (e.g. schedules to cover a period of engineering work); and on-theday recovery from major delays. Mainly local search heuristics incorporating fuzzy theory techniques will be used for the new algorithms, and delay situations will be simulated to estimate the robustness achieved. Intelligent and optimised distribution of affordable slack time allowances in the schedule, minimum change, and assessment and prediction of the effects of delays are the main features in the scheduling methods to be developed. A PhD studentship will complement the main programme focussing on how the algorithms may exploit the presence of time windows for changing drivers.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
http://www.leeds.ac.uk |