open-traffic-collection
osmnx
| open-traffic-collection | osmnx | |
|---|---|---|
| 3 | 14 | |
| 380 | 4,688 | |
| 1.6% | - | |
| 3.4 | 9.5 | |
| almost 1 year ago | 15 days ago | |
| Python | ||
| - | MIT License |
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open-traffic-collection
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Traff: An open source format/service for live road traffic updates
If you lack the source data you might get them from official feeds. A few years ago I started to collect them: https://github.com/graphhopper/open-traffic-collection
- Google Maps-Typical Traffic Data
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Video: Why Open Data Matters for Cycling: Visualizing a Cycling City
https://github.com/graphhopper/open-traffic-collection may be of help.
I would think it would be a challenge to get useful data from such a source even if resolution were high enough. That nice low traffic road may have been photographed in the weekend, outside traffic hours, on a national holiday, because of a road black a kilometer away, etc.
osmnx
- I played with a python module called OSMnx to create the roadmaps of some cities. These include major highways,motorways,roads and streets that carry most of the traffic.
- Planning a straight line across Norwich, the best route I could find just scraped a silver.
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Anyone here familiar with GeoPandas in Python? Can GeoPandas calculate driving distances and drive time?
You want osmnx
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[OC] Neighborhood walkability in Delhi
OSM road network data was analyzed using osmnx (https://github.com/gboeing/osmnx). Plotted using QGIS.
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Rate Limit Causing Pause
I think you’re hitting this issue right now: https://github.com/gboeing/osmnx/issues/832
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Video: Why Open Data Matters for Cycling: Visualizing a Cycling City
RDS-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.
- I just want things to work
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Number of Public Transport Stations & Doctors in each city in Germany
Osmnx might also be a way to download data for the whole country. It breaks the area up in smaller parts automatically and also downloads the parts from Overpass. https://github.com/gboeing/osmnx
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Tacoma!
You can make your own with a variety of tools, but I like the results from OSMnx offhand.
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Need to get a national (US) file of cycleways.
I have no idea if this works for such large regions, but https://geoffboeing.com/publications/osmnx-complex-street-networks/ is an awesome tool to visualize street (and maybe bike) networks.
What are some alternatives?
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
pyosmium - Python bindings for libosmium
overpass-wizard - :dizzy: Human friendly way to generate Overpass API queries
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
atlas - OSM in memory
qgis-outdoor-map - QGIS project for an outdoor map based on OpenStreetMap data.
osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.
opentopodata - Open alternative to the Google Elevation API!
3d-tiles - Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
agentpy - AgentPy is an open-source framework for the development and analysis of agent-based models in Python.
Redistricting - QGIS Plugin containing tools for electoral delimitation