Skip to content

lostfleetdev/teraffic

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

teraffic

teraffic is a Python prototype for route planning under convoy movement constraints in dense city traffic.

The current implementation works in three steps:

  1. Download the drivable road network for Mumbai from OpenStreetMap.
  2. Compute a shortest main route between fixed start and end coordinates.
  3. Identify feeder paths that connect into that main route and render everything on an interactive map.

This repository is not a production traffic control system yet. It is a research-style simulation workflow you can run locally.

project status

  • Stage: prototype / research workflow
  • What works now: network download, route computation, feeder extraction, map output
  • What is hardcoded: city (Mumbai, India) and example coordinates in src/downm.py and src/jsonroute.py
  • What is missing for production: live signal control logic, APIs, tests, packaging, and deployment automation

repository layout

teraffic/
├── src/
│   ├── downm.py      # downloads OSM road graph and saves GraphML
│   ├── jsonroute.py  # computes main route + feeder paths, writes JSON
│   └── visu.py       # renders map layers to HTML
├── requirements.txt
└── README.md

prerequisites

  • Python 3.10+
  • pip
  • Internet access (required for OpenStreetMap download in downm.py)

setup

python -m venv .venv

Windows:

.venv\Scripts\activate

Linux/macOS:

source .venv/bin/activate

Install dependencies:

pip install -r requirements.txt

Create output folders (ignored by git):

mkdir downloads
mkdir visual

run the pipeline

From the teraffic root:

  1. Download city road network:
python src/downm.py
  1. Compute route and feeder paths:
python src/jsonroute.py
  1. Generate the visualization:
python src/visu.py

Expected outputs:

  • downloads/mumbai_drive_network.graphml
  • src/feeder_route_data.json
  • visual/mumbai_road_network_with_feeder_routes.html

Open the HTML file in a browser to inspect the result.

configuration points

To try another scenario, edit:

  • place_name in src/downm.py
  • start_coords and end_coords in src/jsonroute.py

known limitations

  • No command-line arguments or config file yet.
  • No validation for impossible routes or missing files.
  • Route quality is based on road length only (weight='length').
  • No automated test coverage at the moment.

next upgrades

  • Add CLI arguments for city and coordinates.
  • Add route quality options (time, congestion proxy, blocked intersections).
  • Add unit tests for feeder path extraction.
  • Wrap the workflow in a small API service for integration with other tools.

About

a system to simulate safe passage of convoys through populated cities to leave as minimal impact on traffic fingerprint of local traffic network.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages