This repository accompanies the research project “From Links to Lanes: A Lane-Level Traffic Assignment Framework”, presented at the 2025 INFORMS Annual Meeting.
It includes the methodological description, simulation tools, figures used in the presentation, and replication instructions for running lane-level dynamic traffic assignment (DTA) experiments and microscopic SUMO simulations.
Traditional link-based traffic assignment (DTA) models treat each road segment as a single homogeneous link and fail to represent:
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lane-changing friction
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turning-pocket spillback
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cross-weave turbulence
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lane-level capacity constraints
Modern transportation networks—especially with connected vehicles, HD maps, and autonomous driving—require lane-level fidelity.
This project develops a Lane-Level Dynamic Traffic Assignment (DTA) framework that models:
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Straight movements
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Turning movements
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Lane-changing maneuvers
via maneuver-specific volume–delay functions (VDFs) that depend on traffic flow in both origin and receiving lanes.
The model is validated against microscopic SUMO simulations and real-world Sioux Falls experiments.
