Investigating the Effect of Enabled Mesoscopic Settings within a Sensitivity Analysis
summary
Uses SUMO and an R analysis script to run 120 mesoscopic configurations (11 parameters) and a One‑At‑A‑Time plus combined sensitivity study comparing mesoscopic outputs to a simplified microscopic baseline. Reports metrics from fundamental diagrams — maximum density, critical density, maximum speed, maximum flow — finds enabling mesoscopic defaults can inflate speeds above posted limits (fixed by setting speedDeviation=0), finds best speed‑threshold at -0.33, shorter edge segmentation improves fidelity, and recommends per‑road tau values rather than a single global tau.
AI-written summary · about