TIL/T&P Masterclass presentation by Thomas Schreiter on his PhD project in cooperation with Rotterdam Harbor Authority and about project management. December 2011.
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Dynamic Class-Specific Traffic Control on the A15
1. Dynamic Traffic Management:
Class-specific Control at de A15
Thomas Schreiter, Hans van Lint, Serge Hoogendoorn, Zlatan
Muhurdarević, Ernst Scheerder
Goal: 40 km in 38 min
Delft
University of
Technology
Challenge the future
2. A15 during evening peak
Delft
University of
Technology
Challenge the future
3. Class-specific Vehicle Length
• More jam ßà longer trucks (in relative terms)
• Worsening effect
• Person-car equivalent (pce) value
• Effective density = pce * density
• Dynamic, dependent on traffic state!
Thomas Schreiter: “Dynamisch Verkeersmanagement” 3/16
4. Truck percentage
• A lot more trucks than on other highways
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5. Outline
• The model BOS HbR
• Control Loop
• 3 Components
• Examples of class-specific Control
• Conclusion
• Review
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6. BOS HbR
Traffic System A15
Actuators
Sensors
Real-time Real-time Real-time
Control Prediction Estimation
BOS-HbR ( Beslissingsondersteunend Systeem voor het
Havenbedrijf Rotterdam )
Network Traffic model
∂ku ∂qu
+ =0
Goalfunction ∂t ∂x
Travel time <= 38min
Vehicle properties
Historic
inflows /
outflows
l = 20 m l=6m
vmax =85 km/u vmax =110 km/u
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7. Estimation: traffic state now
• Given: induction loops
• Flow [veh/uur], Speed
• Every ~500 m and 60 sec
• Needed:
1. Density [vtg/km] every 100 m
• Apply filter Check
2. Traffic composition
• Historic microscopic loop data
5:30 8:00 10:30
Past now
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8. Prediction:
traffic state during next 1 hour
• Traffic Flow Model: Fastlane
• Road segmented into cells of 100 m, time step 3 sec
• Density(t+1) = Density(t) + Inflow(t) – Outflow(t)
• Simulation of incidents
Incident
10%
Intensiteit
200 veh/h
Dichtheid
Inflow Fundamental Diagram Turnfraction
• Class-specific: trucks and cars
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9. Prediction:
traffic state during next 1 hour
• Results Prediction
• Density, flow, speed
• Location of congestion
• Travel times
5:30 8:00 now Prediction 10:30
Past
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10. Control: Optimization of Traffic
for each vehicle class
• Model predictive control (MPC)
• Predict effect of DTM measurement
• Choose best DTM measurement
• In realtime
• Example: class-specific route guidance during incident:
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11. Class-specific Route Guidance
• Experiment with simple network
• à less total delay [veh*h]
• Possible Application for A15:
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12. Class-specific Ramp Metering
• Prioritize trucks
à shorter travel time
trucks
à fewer spillback at
on-ramp
• Prioritize cars
à Less total delay
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13. Possible locations for
class-specific ramp metering A15
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14. Conclusion
Traffic System A15
Actuators
Sensors
Real-time Real-time Real-time
Control Prediction Estimation
BOS-HbR ( Beslissingsondersteunend Systeem voor het
Havenbedrijf Rotterdam )
• Dynamic Traffic Management
• Goal: improve traffic state during incidents
• By prediction of expected traffic situation
• Predict jam locations
• Class-specific control improves traffic state
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15. My Review
Planning Reality
Estimation 1st year 1.5 years
Prediction 2nd year Still busy with
calibration
Control 3rd year Mid of 3rd to beginning
of 4th year
Dissertation 4th year start 3 months later
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16. My Review
• Good
• Culture: open, freedom, honesty, relaxed
• Theory and application
• Exciting topic
• Helicopter flights J
• Tough
• Culture
• Dutch at TUD and sponsors
• Getting distracted by other interesting research topics
Thomas Schreiter: “Dynamisch Verkeersmanagement” 16/16
17. A15 haven-uit: bij Charlois
Delft
University of
Technology
Challenge the future
18. A.
Homepage met resultaten in realtime
www.regiolab-delft.nl/boshbr
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19. www.regiolab-delft.nl/boshbr
• BOS-HbR op computer bij TU Delft
• Vlekkenkaarten
• Snelheid, intensiteit
• A15, beide richtingen
• Schatting, voorspelling
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20. Space (30km) à
Screenshots –
Schatting
Current Speed
Time (4h) à
Space (30km) à
Current Flow
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21. Space (30km) à
Screenshots –
Voorspelling
Time (1h) à
Current Speed
Space (30km) à
Current Flow Thomas Schreiter: “Dynamisch Verkeersmanagement” 21/16
25. Resultaten: Incident simulaties
• Voorbeeld: 26 jan 2011 om 16.10
• Herrouteren: Wat gebeurd, als het verkeer over het onderliggende wegennet
geherrouteerd wordt?
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