Routing & Siting Tool

Sargent & Lundy · bootstrapped the engineering side

Transmission line routing and siting studies were done by manual route selection. This tool replaces that with a weighted cost-surface and least-cost-path model over the input GIS layers.

The project is early-stage; I bootstrapped the engineering side of it.

What I built

Established the repository structure and development tooling, and migrated an existing external prototype into the internal organization using a history-preserving import branch and pull request rather than a flat copy, so prior authorship and commit history survived.
Scoped the target architecture with input GIS layers, a weighted cost map, and a relational store for layer data, reusing the queue-plus-worker container topology proven on Smart Overlay.
Set up local development with Streamlit and uv for fast iteration during the prototype phase.

Stack

PythonStreamlituvGIS cost-surface and least-cost-path modelingAzure