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Extending the Link Transmission Model with general concave fundamental diagrams and capacity drops
Jeroen van der Gun Adam Pel Bart van Arem Rijkswaterstaat / Joop van Houdt
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Solving kinematic wave theory
Lighthill & Whitham (1955), Richards (1956) Formulation of kinematic wave theory Godunov (1956), Daganzo (1994) Numerical solution through Cell Transmission Model Newell (1993), Yperman et al. (2006), Yperman (2007), Gentile (2010) Alternative numerical solution through Link Transmission Model Daganzo (2005), Jin (2015), Han et al. (2015) Proofs using variational theory that LTM converges for triangular fundamental diagrams as Δt↓0
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Triangular fundamental diagrams
Constant speed in subcritical traffic Constant travel times in light traffic Identical capacity in free-flow and congestion No capacity drop No benefit of metering Rijkswaterstaat / DVK-RWS
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Contents Overview of LTM structure
Link model for continuous concave FD LWR theory with capacity drop Link model with capacity drop Node model with capacity drop Numerical examples
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Overview of LTM structure
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LTM structure (discrete time version)
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Link model for continuous concave FD
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Continuous concave FD
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Sending flow as solution network
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LWR theory with capacity drop
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FD with capacity drop
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Example with separating shock
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Link model with capacity drop
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Link algorithm modifications
Sending flow Add queue discharge rate constraint in congestion Receiving flow Apply backward paths only in case link outflow was congested Track separating shock implicitly by adding extra paths New dissolution procedure
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Node model with capacity drop
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Node algorithm modifications
Capacity drop invariance First time step after breakdown same flow as later time steps Standing queues with capacity drop Congested transition flows never exceed discharge rate Receiving flow reduced to discharge rate if exceeded No memory effect
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Numerical examples
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Model features
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A13 motorway corridor network
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Conclusions
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Conclusions LTM extended with continuous concave FDs
LWR and LTM extended with capacity drop Models acceleration fans Models both onset and propagation of both standing and moving queues, including stop-and-go waves Computationally-efficient first-order network model with small numerical error
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