SAsarnu·Jun 17, 2024
The author of the paper is also the author of a really useful python package for processing OSM data:
https://github.com/gboeing/osmnx
In Urban spatial order: street network orientation, configuration, and entropygboeing
osmnx
Python2016–2024
gboeing / osmnx
osmnx
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
6Distinct people
6Mentions
0Explicit recommenders
5.9KGitHub stars
What to know before exploring
What it is
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year6 dated mentions
Observed mentions: 2016-11-10 15:20:14 UTC to 2024-06-17 06:10:13 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2016 | 2016-01-01 00:00:00 UTC | 2017-01-01 00:00:00 UTC | 1 | 1 | 0 |
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
6 sourcesRDS-TMC transmits traffic data over FM radio. https://en.wikipedia.org/wiki/Traffic_message_channel Some is encrypted, some not.
It might be possible to model traffic with OSMnx to assign weights to roads by expected traffic levels https://github.com/gboeing/osmnx
Depending on where you live you might be able to get traffic data and maybe traffic models from public authorities using Freedom of Information requests.
eg London's TFL:
https://datatonic.com/case-studies/traffic-prediction-tfl/
>Designed to gather data from all over London, TFL’s Urban Traffic Control (UTC) system collects car activity records via 14,000 individual road sensors located throughout the city. We were given 3-months worth of these records to create our traffic prediction model — totalling over 120 billion data points.
Once you have road weights you can use somethi
Read the rest
ng like brouter - https://brouter.de - it can already do road types and elevation.
Osmnx[0] is is one of the most interesting and academically complete packages I’ve come across!
[0]: https://github.com/gboeing/osmnx
In Prettymaps: Small Python library to draw customized maps from OpenStreetMap datagreat! there is also the python package osmnx[1] to calculate isochrones by yourself. Also check geoff boeing's blog[2]. if you are into geo spatial things.
[1]: https://github.com/gboeing/osmnx
[2]: https://geoffboeing.com
In 20-Minute NeighborhoodsA nice counter example of research software code that adheres to general software engineering best practices and is easy to pick up and use is the OSMNX project: https://github.com/gboeing/osmnx
Props to Geoff for setting a nice standard.
In Research software code is likely to remain a tangled messOSMnx: Python for street networks
1 points · Open discussion