Data processing backend for the FIT5120 Capstone Project

This is the back-end program for of our project titled: Reducing Transport Injuries - Fighting Fatigue

It is developed using the Flask web framework.

View the product video for this project:

Features

• Implementation of the Psychomotor Vigilance Test (PVT) for measuring fatigue
• Alternative route discovery. Routes are tagged as Safest, Fastest, and Shortest

System Overview

Usage

→ Prepare the application

$ git clone https://github.com/cigarplug/fit5120.git
$ cd fit5120

→ Create your heroku application

$ heroku create <your-app-name>

→ Declare environment variables

The vars are stored in the .env file in your app directory

user : database username
password : database password
host : link to the database host
gcp_key : client key of your Google Maps Directions API project
mapbox_tile : url and access key from your MapBox account

→ Run the application on local machine

$ heroku local

→ To deploy the application, (in your app directory) run:

$ git push heroku master

→ The application is now deployed. Ensure that at least one instance of the app is running:

$ heroku ps:scale web=1

API Docs

Type	Location	Description	Return Type
HTTPS POST	/map	HTML map: route + accident clusters	html
HTTPS POST	pvt_data/summary	Fatigue: star rating + description	json
HTTPS POST	pvt_data/chart	Visualization of PVT response times	image/png

For the /map endpoint, the request data is in json format with the following structure:

{
    "origin": {
        "qry_type": "txt",
        "query": "Melbourne"
    },
    "dest": {
        "qry_type": "latLon",
        "query": {
            "lat": "-37.8847163",
            "lon": "145.0695384",
            "address": "Chadstone SC"
        }
    },
    "tags": "safest"
}
 

For the fatigue test result endpoint i.e, /pvt_data the request json data structure is:

{
  "reaction_times": [0.67, 1.23, 1.07, 1.22, 1.11, 0.7, 1.43],
  "test_times": [5, 10, 8, 8, 6, 9, 5],
  "false_clicks": 3
}