Capacity Increase through Optimised Timetabling

1. Capacity Increase through Optimised Timetabling • Appendix • Short description of the tools developed by TU Delft • Mining, filtering and analysis of train detection data • (TNV-Prepare) • Stability analysis of network timetables (PETER) AGRRI Network Capacity Seminar 28 November 2003 London Ingo A. Hansen, Professor for Design of Transport Facilities Faculty of Civil Engineering and Geosciences Transportation and Planning Dept. i.a.hansen@citg.tudelft.nl

2. Tool for mining, filtering and analysis of train detection data (1) • Compilation of NS data records • of track occupation and release • indicating train # per section • Consistency proof of the • routes used and times recorded • Preparation of data base • with chronological and • topographical order • of train records

3. Tool for mining, filtering and analysis of train detection data (2) Example track occupation records of IC 1500 at Eindhoven

4. Tool for mining, filtering and analysis of train detection data (3) • Estimation of the • braking/acceleration • time from last/first • measurement point • until/from stop position • at platform track • Comparison with • scheduled arrival/ • departure times • according to the • remaining braking/ • acceleration distance • High precision of sec.

5. Tool for mining, filtering and analysis of train detection data (4) Example distribution of arrival delays IC 2100 at The Hague HS Example distribution of dwell times IC 1900 at The Hague HS

6. Tool for mining, filtering and analysis of train detection data (5) Example distribution of departure delays of IC Amsterdam-Vlissingen at station The Hague HS

7. Stability analysis tool for timetables of interconnected line networks (1) • Model approach • Discrete event • Dynamic system • Network model • Deterministic process times (design times) • Model characteristics • Periodic steady-state • Dynamic train interactions • Slack times between events • Initial departure delays

8. Stability analysis tool for timetables of interconnected line networks (2) • Analysis methods • Critical circuit analysis (Critical circuits, minimum cycle time, throughput, stability margin) • Recovery times • Delay impact on departing train, delay sensitivity of waiting train, circuit recovery time • Delay Propagation • Propagation initial delays through time and network, settling time, total and mean consecutive delay

9. Stability analysis tool for timetables of interconnected line networks (3) • Example Dutch IC-network 2000-2001 • 29 train lines (both directions) • 74 stations • 334 departures/line segments • 51 transfers • Critical circuit analysis • Critical circuit: 19 departures, 9 train lines, 6 stations • Minimum cycle time: 58:25 minutes • Throughput: 97 % • Stability margin: 0:53 minutes

10. Stability analysis tool for timetables of interconnected line networks (4) Example Dutch IC lines

11. Stability analysis tool for timetables of interconnected line networks (5) Example primary delay propagation of IC 1700 from Utrecht to the North

12. References • Goverde, R.M.P., Hansen, I.A. (2000), “TNV-Prepare: Analysis of Dutch Railway Operations Based on Train Detection Data”, In: Allan, J., Hill, R.J., Brebbia, C.A., Sciutto, G., Sone, S. (eds.), Computers in Railways VII, WIT Press: Southampton, 779-788 • Hansen, I. (2001), “Improving railway punctuality by automatic piloting”, In: Proc. IEEE Intelligent Transportations Systems Conf. Aug. 25-29, Oakland (CA), 792-797 • Yuan, J., Goverde, R.M.P., Hansen, I.A. (2002), “Propagation of train delays in stations, In: Allan, J., Hill, R.J., Brebbia, C.A., Sciutto, G., Sone, S. (eds.), Computers in Railways VIII, WIT Press: Southampton, 975-984 • Goverde,R.M.P., Odijk, M.A. (2002), “Performance evaluation of network timetables using PETER”, In: Allan, J., Hill, R.J., Brebbia, C.A., Sciutto, G., Sone, S. (eds.), Computers in Railways VIII, WIT Press: Southampton, 731-740