SafeCity

Description

The goal of SafeCity is to foster Smart Cities and, at the same time, allow its citizens to participate and have access to a set of information about the current and future status of their city. It currently targets those more vulnerable at the road, providing information that may help reducing their vulnerability. SafeCity makes use of several Artificial Intelligence (AI) methods to implement and offer, for several Portuguese cities, the following services:

- A Feelings Map, i.e., a city’s map based on the quantification of positive feelings of its citizens in regard to certain categories and certain zones of a city. The feelings’ map is made of direct contributions of the community. Users are able to visualize the feelings of the entire community, are able to add their own feelings and are able to see and remove previously added feelings.

- A Traffic Flow Forecaster, a service that makes use of deep artificial neural networks to provide twenty-four hours forecasts of traffic flow for several Portuguese cities. The goal is to allow the possibility of knowing, beforehand, how will traffic stand in future hours to enable a cyclist to opt for another hour to cycle or a pedestrian to choose a less congested hour for running.

- Geofencing, a location aware service that establishes virtual perimeters for real-world geographic areas. Current available geofence categories include dangerous, high traffic, crowded and polluted zones. These zones are essentially related with the VRU problem and aim to alert such vulnerable users as soon as they enter a zone where their vulnerability increases. Therefore, as soon as an user enters, or exits, a geofence, a notification emerges in the user’s smartphone allowing him to know he is entering a problematic zone.

- A Boredom Predictor, a service that makes use of mobile sensors’ data and AI models to predict user boredom when using a smartphone. As soon as the user enables this service it will start collecting sensors' data to predict boredom. The sensors values are anonymously stored, i.e., it is not possible to know or link a person to the stored values.

- A Personality Predictor, a service that is still under development and that aims to provide to the user a vision of his personality using the OCEAN model and the applications the user has currently installed in his smartphone. As soon as the user enables this service, it will emerge, in the main activity, a view that allows the user to answer to a set of adjectives in order to have a measure of his personality (Gerard Saucier (1994) Mini-Markers: A Brief Version of Goldberg's Unipolar Big-Five Markers, Journal of Personality Assessment, 63:3, 506-516). To create an AI model, SafeCity is currently storing the answers of the user to the personality test as well as the name of the applications the user has currently installed in his smartphone.

- A Gamification Engine, a service to support and promote user engagement. This service consists in a set of levels and points, which are given for the successful accomplishment of specified activities such as contributing to the feelings map or using the application. The goal is to have tradable points, i.e., points that may be exchanged for specific discounts in cities' services and products.