TMG Generation of Optimised Automatic Signalling Layouts with Computer Simulations David Caldwell IRSE Technical Conference, Sydney 21 st July 2006
May 24, 2015
TMG
Generation of Optimised Automatic Signalling Layouts with Computer SimulationsDavid CaldwellIRSE Technical Conference, Sydney21st July 2006
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WorleyParsons TMG
resources & energyWhat is signalling trying to achieve?
“To consider railway signalling and telecommunications specifically, shouldn’t we focus on selling capacity? Indeed, safety alone does not really pay. Saying then ‘Signalling is safety for more trains’ is probably wrong. Signalling is a business tool…”
- Jacques Pore, IRSE President (March 2006 IRJ)
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WorleyParsons TMG
resources & energyIn more general terms
The system has to be inherently safe
We want to meet operational capacity requirements as
efficiently as possible
Target signalling capital to provide desired performance
along a line
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WorleyParsons TMG
resources & energyAutomatic Block Signalling
Broadest application is to Multiple Aspect Signalling
Also applied through fixed-block cab signalling
Core requirement for availability of braking distance are
the same in both speed and route signalling
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WorleyParsons TMG
resources & energyFor automatic signal layouts we want…
Signals placed safely in accordance with train braking
performance
Signal placement and spacing to be optimised for the
traffic requirements of the line
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WorleyParsons TMG
resources & energyFunctional Relationships
Capacity
Capacity
Braking distancesBraking
distances
Sighting
Sighting
Number of aspects
Number of aspects
HeadwayHeadway
Train speedsTrain
speeds
GradesGrades Rolling stock(Train Mix &
Performance)
Rolling stock(Train Mix &
Performance)
Speed limits
Speed limits
Signal spacingSignal
spacing
Dwell time or junction
delay
Dwell time or junction
delay
Time to clear
Time to clear
Overlap
Overlap
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WorleyParsons TMG
resources & energyLayout Aim
Layout optimised to
Either maximise line capacity with certain traffic
requirements
Or meet certain traffic requirements less than line
capacity
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WorleyParsons TMG
resources & energyLayout Aim
Very laborious to optimise a layout by manual
techniques, particularly under diverse traffic conditions
involves inaccurate generalisations
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WorleyParsons TMG
resources & energySimulation tools
Computer simulations make it possible to analyse the
observable characteristics of a railway system without it
existing in reality
SIMULATOR
ROLLING STOCK
TRACK
SERVICES
SIGNALLING
SPEED
BRAKING DISTANCE
CLEARANCE TIME
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WorleyParsons TMG
resources & energySimulation tools
Provides speeds to indicate whether a train can reach line speed at all, and whether short fast trains present more of a problem than long slow ones
Provides the necessary data to determine clearance times at any signal, and therefore provides achievable headway
Assesses braking distances on the actual (varying) gradients of the line, rather than on some fixed generalised grade applied to the whole block
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WorleyParsons TMG
resources & energySimulation tools
>Service braking distance
What is the gradient in this section?
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WorleyParsons TMG
resources & energySetting goals
In order to apply simulations to signal design, some
clear goals have to be set
Actual planned traffic diversity (dwell times, tractive
effort, length, braking rate)
Desired headway
Required braking conditions
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WorleyParsons TMG
resources & energyMethodical Approach
Methodical approach is required to maintain the integrity
of data
Must take care to select correct data for each
application- make sure data is “fit for purpose”
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WorleyParsons TMG
resources & energyCalibration
Usually braking distances for signalling the layout are
stipulated in design Standards or Principles
Simulations calculating braking distances must be
calibrated to the design standard
This is achieved by adjusting equipment delay times and
deceleration in different speed bands
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WorleyParsons TMG
resources & energyCalibration
Emergency Braking Distance GE52A
0
10
20
30
40
50
60
70
80
90
100
110
120
Distance [m]
Sp
eed
[km
/h]
GE52A Level
Level
GE52A F1:30
Falling30
GE52A R1:40
Rising40
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WorleyParsons TMG
resources & energyBraking Distance Simulations
Worst case brake service and emergency braking
curves for each train type
Non-stopping trains running at full free-speed
No Temporary Speed Restrictions
Unladen trains (maximum acceleration)
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WorleyParsons TMG
resources & energyHeadway Simulations
Apply normal in-traffic service-braking rates applicable
to each train
Apply all operational delays, such as stops, junction
delay, dwell time and recovery time
Apply all temporary speed restrictions that are
applicable in operation
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WorleyParsons TMG
resources & energyOptimising the Layout
Braking Distance
Distance (chainage)
Time
Train
Cle
ara
nce
tim
e “
A”
Signal A
Simulated service braking distance
Clearance point A
Overlap A
From clearance time and headway simulation
From Braking distance simulations
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WorleyParsons TMG
resources & energyOptimising the LayoutOptimise MAS
layout
Generate emergency braking distance along the route
Develop maximum density three aspect layout
Generate service braking distance along the route
Simulate clearance times
Develop maximum density four aspect layout
Are user requirements
met?
Yes
No
Are user requirements
met?No
Simulate clearance times
Yes
Test reductions in speed limits, or tolerability of
restrictive signal running
Produce signal locations and clearing point locations
Signal spacing and overlap requirements
Remove excess signals and
redistribute for consistent clearance
time
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WorleyParsons TMG
resources & energyHandling the data
Lots of data flowing between steps in the process
Results from different simulations have to be
consolidated
Data has to be handled simultaneously so that signal
placements are on the basis of clearing time, but are
always compliant with braking distance requirements.
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WorleyParsons TMG
resources & energyExpectations have changed
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WorleyParsons TMG
resources & energyThe information is in there…
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WorleyParsons TMG
resources & energyIRSE “Green Book” No27 headway
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WorleyParsons TMG
resources & energyWhich looks like this
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WorleyParsons TMG
resources & energyIt all needs to be tied together
Can do this in Excel
Requires some tricky macros and big formulae
Still requires manual execution of simulation and lots of data handling (means lots of checking)
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WorleyParsons TMG
resources & energyA specific interface
RAIL//SIG - Qld_test_layout1
File Edit View Insert Settings Window Help
Signal edit mode
System Rules: Brisbane Metropolitan 1.00
Service Braking: Longest of selected:
Brisbane suburban EMU
QR Superfreighter
Tilt Train (DMU)
Brisbane suburban SMU
Overlap: Longest of selected:
Fixed minimum 200m
Tilt Train (DMU)
Not loaded
Base file: mstest1.RAW
Clearance time: Greatest of selected:
Brisbane suburban EMU
QR superfreighter
Tilt Train (DMU)
Brisbane suburban SMU
Track gradient and features
Signal clearance timeClearance time simulation settings
Line speed
Free speed of train-type applied for headway analysis
Service braking distance
Service braking settings
Signal showing all displayable colours
That signal’s clearing pointEmergency braking distance
Overlap settings
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WorleyParsons TMG
resources & energySignal design robot?
Methodical application of simulations does provide an
efficient means of “roughing out” and making changes
This is not the complete story
External factors, such as sighting distance and forcing
signals to coincide on parallel lines
Case by case risk analyses
Still requires a skilled practitioner
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WorleyParsons TMG
resources & energyConclusion
Signal layouts can be optimised with the aid of computer
simulations
Optimisation means not only tailoring the layout to the
specific traffic requirement, but also having no more
signals that are required to meet that requirement
Applying simulations requires a methodical approach,
which has scope for much greater automation
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WorleyParsons TMG
resources & energyConclusion
Clear presentation of decision support information, such
as limits of signal spacing, overlaps and clearance
times, empower the user to make better decisions
Time and cost of development can be reduced,
infrastructure in the field can be better targeted
Design issues can be more quickly identified and
assessed in large projects
Thank you