tmc-summarizer

Process raw TMC data into more functional formats.

Live Demo

Here: http://167.172.146.34

The codebase for the demo can be found at dvrpc\tmc-app

Development environment setup:

Create and activate a virtual environment:

(base) $ conda create --name tmc_summarizer python=3.8
(base) $ conda activate tmc_summarizer

Install the third-party requirements:

(tmc_summarizer) $ pip install -r requirements.txt

Install this package in 'edit' mode

(tmc_summarizer) $ pip install -e .

Execute via Python, CLI, or GUI:

In all cases, you'll need the proper python environment activated.

(base) $ conda activate tmc_summarizer
(tmc_summarizer) $

Python

>>> from tmc_summarizer import write_summary_file
>>> write_summary_file("/my/raw/data/folder", "/my/output/folder")

Command Line Interface

Use the tmc summarize command to kick off the script. You need to specify a path where the data can be found.

(tmc_summarizer) $ tmc summarize my/data/

Graphical User Interface

Use the tmc gui command to visually select your data folder.

(tmc_summarizer) $ tmc gui

TODO

✅ match functionality of prototype

✅ add CLI hook

✅ add GUI hook

✅ write Flask-based web app

🔲 write test suite

🔲 test on Windows & Linux

Questions:

Light Vehicles tab has Peds in Crosswalk, while the Heavy Vehicles tab has Bikes in Crosswalk. Is this intentional, or mislabeled data?