Improve the mobility of urban spaces, through the management, monitoring and analysis of the use of limited parking areas.

Problem

The use of the loading and unloading zones in the cities is currently considered improvable, specifically in this case in Mataró.

By not having control of parking lots in the loading and unloading areas, they do not take full advantage of them. Whether the areas are over-occupied or under-occupied. This influences the unnecessary traffic and pollution of the vehicles in the same city. It also directly affects the satisfaction of the driver or user of the vehicle. On the other hand, the card-clock is currently used, manual, and does not provide information about the status of the zones, due to the fact that there is no telematic communication. The solutions that already exist are not Open Source, or, they are directly private.

Answer

Useful information: Collection and offer of vehicle data.
Analysis and visualization: Involvement of the user.
Open Source
Availability: Check the available places in real time.
Collaboration: Participation of citizens.
Modernization: Appropriation of the system in the digital world.

Solution

As a solution, a platform has been created that allows the obtaining and exploitation of data from the areas of CiD. This solution consists of a web dashboard for the frontend, an Android application for the introduction of data and an API as a backend.

This solution is collaborative for the common benefit. And it differs from the existing solutions in which it is:

Open Source: It is replicable, scalable and adaptable.
Open Data: Open data is consumed, generated and collaborated.

Tech

This project uses Open Source for its operation:

[Flask] – Framework Python as a REST backend.
[SQLite] – Persistence of data.
[LeafletJS] – Map representation on the web.
[HTML5] – Web.
[JS] – Web.
[Android] – Native Android app.
[Open Street Maps] – Representation of map in the application

Role in the project: Android Developer.
Company: None.
Website: None.
Date: February 2018.
Project code: Github Repository.
Appears in:

Hackathon website: SomHackathon Website.