Operation-driven Scheduling Approach for Fast, Frequent and Reliable Railway ServicesAlfons A.M. Schaafsma, Vincent A. WeedaProRail, Department of Traffic Control

Operation-driven Scheduling Approach for Fast, Frequent and Reliable Railway Services / 2

Rail Transport Growth!

On existing network:

Efficient capacity use

(exactly right reservation, multifunctional)

Local measures (RailDelft, CompRail XI)

now: Approach

Feedback: Continuous Improvement

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Objective:Matching Schedule and Operation

 

  Operation according to output standards?

Yes No

 Schedule feasible according to standards?

Yes

OK.

NoApply standards

pragmatically

1. Measures in operation.

2. Adapt the schedule to the

operation.

Apply DTM measures

Operation-driven Scheduling Approach for Fast, Frequent and Reliable Railway Services / 4

Monitoring: Time Windows

Operation-driven Scheduling Approach for Fast, Frequent and Reliable Railway Services / 5

Meppel: Synchronisation Point

2nd Train: Groningen .04Hoogeveen .42

.56/.571st Train:

Leeuwarden .04Schedule: arr .52/ dep .53

Zwolle

Meppel

South

  Operation according to output standards?

Yes No

 Schedule feasible according to standards?

Yes Is gaining speed possible?

1. Measures in operation.

2. Adapt the schedule to the operation.

No Apply standards pragmatically

Apply DTM measures

Operation-driven Scheduling Approach for Fast, Frequent and Reliable Railway Services / 6

Meppel: Adverse Effects of Margins

Arrival delay Meppel (min)

Dwell time Meppel (sec) 1st Train

blocks way

Departure delay Hoogeveen (min)

Running time Hoogeveen-

Meppel (min)

2nd Trainruns into conflict

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Dordrecht Bridge

Hour pattern Incidental capacity claim

6x/day

  Operation according to output standards?

Yes No

 Schedule feasible according to standards?

Yes Is gaining speed possible?

1. Measures in operation.

2. Adapt the schedule to the operation.

No Apply standards pragmatically

Apply DTM measures

Operation-driven Scheduling Approach for Fast, Frequent and Reliable Railway Services / 8

1. Choose sync. points (limited #)

2. Allocate margin just before sync. point

Conflict-free Scheduling Approach

Early due to margin

Conflict (dotted line would be conflict-free)

Standard headway

Time

Distance

Same headway

Saved travel time

No margin on the route

Operation-driven Scheduling Approach for Fast, Frequent and Reliable Railway Services / 9

1. Choose sync. points (limited #)

2. Allocate margin just before sync. point

3. Use feasible headway & cross times

Conflict-free Scheduling Approach

4. Differentiate standards (incidental trains)

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Apply DTM Measures

QUANTITY bottleneck

Hourly capacity is not

sufficient

Example: Schiphol

tunnel• Platform capacity• Conflicting routes

QUALITY bottleneck

Hourly capacity is

sufficient,

Customer specs.

can not be met

Example:

Amsterdam- Utrecht

 

  Operation according to output standards?

Yes No

 Schedule feasible according to standards?

Yes Is gaining speed possible?

1. Measures in operation.

2. Adapt the schedule to the operation.

No Apply standards pragmatically

Apply DTM measures

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Example Quality Bottleneck

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Utrecht

Amsterdam

Schiphol

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DTM: optimising the use of capacity in bottlenecks in 5 steps

1. Identification of bottlenecks

2. DTM arrangements for flow optimising

3. Effect on speed and width time window?

4. Defining of buffer after bottleneck

5. Measuring and fine tuning

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Conclusion:Matching Schedule and Operation

 

  Operation according to output standards?

Yes No

 Schedule feasible according to standards?

YesIs gaining speed

possible?

1. Measures in operation.

2. Adapt the schedule to the

operation.

NoApply standards

pragmaticallyApply DTM measures

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“Traveling without a timetable” enabled by

A Different Approach to

                                                            

Capacity Growth Planning

Capacity Allocation

Scheduling and Dispatching trains

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Discussion Issues

Flexible standards make fair capacity management difficult.

Dense traffic requires local timetable solutions.

Bottleneck approach indentifies the capacity problems in a network.