WARNING: This repo is not ready for general use. The API and input/output formats will keep changing. There are big limitations not yet documented.
od2net helps you turn origin/destination data about where people travel into a cycling network plan. You can use this to decide what streets to prioritize for safety improvements.
- You specify origins and destinations of trips that cyclists take today or of short trips taken by car
- You specify how cyclists would like to choose routes. Are fast/direct routes important, or sticking to quiet streets? Do you want to route near greenspace and shops?)
- od2net calculates routes very quickly, counting how many routes cross every street
- You use the web viewer to look at the most popular streets, filtering for streets that don't have good cycling infrastructure today
...
- set up with your own data, run on your computer (directly or with docker), and compute country-wide network with millions of trips in under an hour
- the quick setup route: clip a small area from OSM, use dummy OD data, tune cost function, and make route networks ending at a single point. interactive in your browser, no install required, get something in minutes
We'd love contributions of all sorts -- developers, designers, data scientists, and applying it somewhere new! Check out GitHub Issues, file a new one, or email dabreegster@gmail.com to get started.
This project follows the Rust code of conduct and is Apache 2.0 licensed. See all credits.