Geospatial Urban API Service
Direct access to simulated spatially enabled traffic grids of urban regions.
This modern Python module represents an idiomatic client accessing the Geospatial Urban API being hosted on Rapid API Hub.
Why is it important?
The geospatial urban API solves a common challenge for urban digital twins - obtaining insights into mobility behavior of citizens using simulated traffic scenarios. Traffic planners use powerful tools in shaping urban mobility sustainable. But without having access to citizen movement profiles there is always a need for simulating, analyzing, testing and mitigating traffic scenarios.
Next steps
Please, check out the RapidAPI Account Creation and Management Guide.
Note
This project is under active development.
Contents
- Usage
- Guides
- Learning path for geourban
- Ramp up your development environment
- Step 1: Create a dedicated environment
- Step 2: Install and Setup packages
- Step 3: Verify your environment
- Step 4: List the available simulations
- Step 5: Request the top five accumulated car traffic grid cells
- Step 6: Convert the returned GeoJSON result into a FeatureSet
- Step 7: Map the traffic grid cells
- Step 8: Query the simulated agents nearby
- Step 9: Map the car positions nearby
- Step 10: Accumulate the speed of car traffic between 08:00 and 09:00 AM
- Step 11: Map the accumulated speed of car traffic
- Ramp up your development environment
- Learning path for geourban
- API