TIL/T&P Masterclass presentation by Thomas Schreiter on his PhD project in cooperation with Rotterdam Harbor Authority and about project management. December 2011.
ICT Role in 21st Century Education & its Challenges.pptx
Dynamic Traffic Management: Class specific control at the A15; Thomas Schreiter
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
Thomas Schreiter: “Dynamisch Verkeersmanagement” 5/16
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
Thomas Schreiter: “Dynamisch Verkeersmanagement” 6/16
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
Thomas Schreiter: “Dynamisch Verkeersmanagement” 7/16
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
Thomas Schreiter: “Dynamisch Verkeersmanagement” 8/16
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
Thomas Schreiter: “Dynamisch Verkeersmanagement” 9/16
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
Thomas Schreiter: “Dynamisch Verkeersmanagement” 12/16
13. Possible locations for
class-specific ramp metering A15
Thomas Schreiter: “Dynamisch Verkeersmanagement” 13/16
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
Thomas Schreiter: “Dynamisch Verkeersmanagement” 14/16
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
Thomas Schreiter: “Dynamisch Verkeersmanagement” 15/16
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
Thomas Schreiter: “Dynamisch Verkeersmanagement” 18/16
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?
Thomas Schreiter: “Dynamisch Verkeersmanagement” 25/16
