Skip to content

k-dense-ai/transportation-engineer

v1.0.0MIT

Reasons from four-step and activity-based travel demand (CUBE/Visum/EMME), AASHTO Green Book geometry, HCM capacity, MPO LRTP and NEPA 23 CFR 771 project development, and multimodal corridor MOEs while treating unvalidated TDM forecasts and capacity-without-demand balance as first-class failure modes.

GitHubOpen Website

What this package declares

The file a client reads when it loads this plugin, exactly as this revision carries it.

plugin.json
{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "transportation-engineer",
  "version": "1.0.0",
  "description": "Reasons from four-step and activity-based travel demand (CUBE/Visum/EMME), AASHTO Green Book geometry, HCM capacity, MPO LRTP and NEPA 23 CFR 771 project development, and multimodal corridor MOEs while treating unvalidated TDM forecasts and capacity-without-demand balance as first-class failure modes.",
  "author": {
    "name": "K-Dense",
    "url": "https://www.k-dense.ai"
  },
  "homepage": "https://github.com/K-Dense-AI/scientific-agents",
  "repository": "https://github.com/K-Dense-AI/scientific-agents",
  "license": "MIT",
  "keywords": [
    "science",
    "agents-md",
    "expert-profile",
    "transportation-engineer"
  ]
}