The aim of this work is to realize an evolutionary algorithm for the optimization of demand responsive transport. The project is related to the Smart City field as an optimization system for the public urban transport.

Python 2.5+, Flask, googlemaps, numpy, psycopg2, python-pip, virtualenv

First, clone this repository.

$ git clone https://github.com/maggiofrancesco/uts.git

Create a virtualenv, and activate this:

$ virtualenv env 
$ source env/bin/activate

After, install all necessary to run:

$ pip install -r requirements.txt

Than, run the application:

$ cd flask_server
$ python api.py

To see your application, access this url in your browser:

http://localhost:5000

Each layer has his configuration file: config_db.cfg, config_evol.cfg, config_server.cfg