A Macroscopic Dynamic model integrated into Dynamic Traffic Assignment: advantages and disadvantages
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Transcript of A Macroscopic Dynamic model integrated into Dynamic Traffic Assignment: advantages and disadvantages
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A Dynamic Macroscopic model integrated into Dynamic Traffic Assignment: advantages and
disadvantages
Martijn Breen & Jordi Casas
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Overview
• Motivation• Model description• Isolated examples• Case study• Conclusion
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Motivation
• Travel Demand models require O/D travel times• Current static models do not capture
congestion/queues spillback• Vehicle-based dynamic models are more complex
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Where does it stand?
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Model – Link model
• Continuous flow model
• Conservation equation:
• Flux rate function:
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Model – link model (ii)
Forward Wave Backward Wave
U ( t − Lγ )=V (t ) U ( t )−V (t − Lω )=KL
Mark P.H. Raadsen, Michiel C.J. Bliemer, Michael G.H. Bell, An efficient and exact event-based algorithm for solving simplified first order dynamic network loading problems in continuous time
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Node model
• Generic• Maximizing flows w.r.t
constraints.• Conservation of turn
fractions• Invariance principle.
Tampère C.M.J., Corthout R., Cattrysse D., Immers, L.H. (2011). A Generic Class of First Order Node Models for Dynamic Macroscopic Simulation of Traffic Flows. Transportation Research Part B: methodological. Volume 45B issue 1, 2011, pp289-309
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Path propagation (integration with DTA)
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MACRO
MESO
MICRO
Static assignment
Dynamic userequilibrium
or
Stochastic route choice
OD Matrix
Network data base
Path
s an
dpa
th fl
ows
data
bas
e
Traffic flow representationTraffic assignment
HYBRID
Integration in Dynamic Traffic Assignment
S
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Network input / calibration parameters
• Geometry• Section
– Free flow speed– Capacity– Jam density
• Turn– Capacity
• Traffic lights control plan
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Isolated examples - spillback
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Isolated examples – traffic lights
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Isolated examples – Give-way node
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Case Study – M4 model
• 476 zones• 1500 km section
length• 5:00 – 10:00 am• 600.000 vehicles
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Case study – Travel Times
OD Travel TimeMeso vs Macro Dynamic 6:00 – 7:00
OD Travel TimeMeso vs Macro Dynamic 7:00 – 8:00
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Case study – Travel TimesOD Travel Time
Meso vs Macro Static 6:00 – 8:00
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Case study – Flows
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Computational performanceSimulator Link actualization
threshold [%]Network Loading [seconds]
Mesoscopic n/a 362
Macro dynamic 5 144
Macro dynamic 10 133
Macro dynamic 20 123
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Density view mode
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Conclusions
• Dynamic Macroscopic model integrated in Dynamic Traffic Assignment
• Travel times comparable under free flow and congested situations
• O/D travel times are more sensitive to errors for coarse (higher threshold) simulation
• Dynamic Macroscopic model is easily calibrated due to few calibration parameters
• Dynamic Macroscopic doesn’t replace the Mesoscopic
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Future developments
• Improve traffic signal treatment• Improve computation speed• Add actions like:
– Metering– Force turn– Capacity reduction