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Semi-dynamic traffic assignment with residual demand for SimCenter R2D

Bay Area Congestion

Features

  • Quasi-equilibrium traffic assignment
  • Efficient routing for millions of trips using contraction hierarchy and priority-queue based Dijkstra algorithm sp
  • Temporal dynamics with residual demand, with time step of a few minutes
  • Compatible with road network retrieved from OSMnx

Use cases

  • Calculating network traffic flow for small and large road networks (10 to 1,000,000 links) at sub-hourly time steps
  • Visualizing traffic congestion dynamics throughout the day
  • Assessing regional mobility and resilience with disruptions (e.g., road closure, seismic damages)

Input Data

  • Road Network
    • nodes.csv
    • edges.csv
    • closed_edges.csv (designed for disruptive events)
  • Demand
  • OD.csv

Output Data

  • Travel time
  • Travel route

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Residual Demand Model for SimCenter R2D

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