Real Time Traffic Predictions

In this project we aim to tackle the problem of traffic congestion by monitoring the traffic flow and congestion and providing useful traffic congestion related information. Congestion can be tackled either by increasing road network capacity or by decreasing demand in congested areas, especially during peak hours. One of the major difficulties in reducing congestion on the road network is that it is hard to change the mindset of travelers. Travelling becomes an automatic and habitual process, and travelers are often unaware of alternative means of getting from A to B.

The basic idea behind the project will be to use real time traffic updates for a period of time and then understand the traffic patterns in the city. These patterns can be used to deduce a number of conclusions. The conclusions that can be drawn using this data are:

1. The locations in the cities where the traffic density is quite high
2. The time of the day at which the traffic density in a particular location is high
3. The zones in the city where the use of motor vehicles is prohibited
4. The density of traffic in major zones of the city

Info

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1. backend directory contains the flask backend with simple methods

2. front directory contains the angular2 frontend

Usage

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1. Clone the repo

   git clone --depth 1 https://github.com/avtansh-code/traffic-congestion.git
   cd traffic-congestion

2. Import the sql file traffic.sql for the database related queries

3. Install the backend related requirements and run. The following will start a flask-server on localhost:8080

   cd backend
   sudo pip install -r requirements.txt
   python run.py

4. Install frontend related dependencies

   cd front
   
   # install global dependencies
   npm install webpack-dev-server rimraf webpack typescript -g
   
   # install webdriver-manager
   npm install webdriver-manager
   
   # install project related dependencies
   npm install
   
   # run server
   npm run server:dev:hmr

5. Now navigate to http://localhost:3000

6. The login credentials will be provided by the project administrator