~/talk

High-Fidelity Modeling of Curbside Driving Behavior

Talkat SUMO User Conference 2021 · 2021-09-13..09-15
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This work builds a high-resolution curbside model for SUMO using the Traci interface, with detectors that track vacancy, randomized downstream spot selection from 10–80 curb slots, and a rule that allows double parking when no open slot exists. It runs 10,000 simulations on HPC and finds a clear threshold near 1500 vehicles per hour: improved behavior raises curb occupancy, edge density, and observed flow while reducing waiting time and variance compared to SUMO’s default.

AI-written summary · about

  1. 0:00Start
  2. 1:27Introduction
  3. 2:23Default SUMO curbside driving behavior
  4. 10:00Analysis: Occupancy & Density
  5. 12:24Analysis: Observed flow & waiting time
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