Public Policies

Determine the danger index of city areas


The new National Road Safety Plan adopts the "Safe System" approach proposed by the European Commission and the UN 2030 Agenda which has the objective of reducing the number of victims by 50% by 2030 compared to 2019 and eliminating the number of victims by 2050. and serious injuries due to road accidents. A key innovation of the PNSS 2030 is the definition of specific strategies for risk categories with the indication of targeted actions for each of them. The categories considered at greatest risk are: children and adolescents, young drivers, over 65s, cyclists, pedestrians and users of motorized two-wheelers.

AI4PublicPolicy, Artificial Intelligence, Use Case

Evaluate the safety of pedibus paths


Pedibus is a "walking minibus" service, which touches the various areas where children live - with the supervision of one or more adults - accompanies them every day on their journey to school.

AI4PublicPolicy, Artificial Intelligence, Use Case

Identify the pedestrian crossings with the most urgent need of improvements


The topic of pedestrian crossings represents a key factor for urban safety, on which the Municipality of Genoa has already started an improvement program aimed at reducing the risk of accidents.This program requires support in classifying crossings based on risk and identifying an intervention priority.

AI4PublicPolicy, Artificial Intelligence, Use Case

Leak Detection


The policy attempts to detect pipe leakages and bursts using vibration sensors combined with one or more flowmeters.

AI4PublicPolicy, Artificial Intelligence, Use Case

Maintenance incidents prediction for optimized planning


The Maintenance incidents prediction for planning purposes policy objective is to have a reliable forecast of maintenance incidents per incident type in the coming months, or per season, to be able to: * plan the purchase of consumables more efficiently, * plan for seasonal personnel hiring or allocation, * reduce the average resolution time per incident type, * increase citizen satisfaction by optimizing the maintenance incident management overall

AI4PublicPolicy, Artificial Intelligence, Use Case

Optimized parking space allocation


Available on-street parking spaces in Athens are marked on the street (road markings and signs) and are distributed between residents of the city (special permit required – paid annually) and guests (on-demand payment through the MyAthensPass parking application). With this policy the Municipality of Athens is able to identify areas with very high or very low visitor demand, to allocate more efficiently the available spaces between residents and guests. This will ensure that there are no spaces either left unused or in very high demand, while maximising the revenue from parking space tickets. In addition, the information on parking space availability per area and per time of day can be accessed by city visitors, to facilitate them in the search for a parking space, by suggested less crowded areas at a given time and day.

AI4PublicPolicy, Artificial Intelligence, Use Case

Photovoltaic (PV) systems mapping for a climate neutral Lisbon policy


This policy aims to create a city map with location and characterization of PV systems to monitor the implementation of the renewable and local energy production.

AI4PublicPolicy, Artificial Intelligence, Use Case

Pipe maintenance and replacement optimization


The policy will identify areas with a high historical concentration of water service disruptions in a given area and optimize the pipe replacement and maintenance with a goal to reduce the number of complaints, increase customer (including citizens) satisfaction, and reduce the need for further maintenance and consequently service disruption. This policy will be asset management instrument used to identify zones with a historically high concentration of water delivery failures and prioritize them for repairs. It will analyze historical data related to failures and breakdowns of the system at given locations over a given period of time and based on such historical data identify the zones where pipe replacement is most urgent.

AI4PublicPolicy, Artificial Intelligence, Use Case

Smart Parking Management for People with Disabilities (PWD)


The Smart Parking Management for People with Disabilities (PWD) is an innovative AI model designed to enhance accessibility and convenience for individuals with mobility challenges. Leveraging advanced machine learning algorithms and real-time data, this system predicts and identifies areas with available parking spots reserved for people with disabilities. By analysing historical parking patterns, live traffic data, and real-time sensor information, the model efficiently guides users to accessible parking spaces, reducing the time and effort required to find suitable parking.

AI4PublicPolicy, Artificial Intelligence, Use Case

Solar mobility infrastructure


Biking stations and cycling networks have become a major means of transportation in Lisbon. Some of the bikes used by citizens are electric, so more stations with electric charging are needed taking advantage of the good solar resource in the city

AI4PublicPolicy, Artificial Intelligence, Use Case

Universal and Accessible Healthcare Scheme


AI4PublicPolicy, Artificial Intelligence, Use Case
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