Capacity Increase through Optimised Timetabling

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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_at_citg.tudelft.nl
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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

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

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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
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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
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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

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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

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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 5825 minutes
• Throughput 97
• Stability margin 053 minutes

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Stability analysis tool for timetables of
interconnected line networks (4)
Example Dutch IC lines
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Stability analysis tool for timetables of
interconnected line networks (5)
Example primary delay propagation of IC 1700
from Utrecht to the North
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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