WP2 - Intelligent urban transportation and mobility

European Commission, first project review

3rd July 2018

Euroforum building, Luxembourg

Maia Buzuleciu (MT)

Mattia Zeni (UniTN)

Nines Sanguino (ATOS)

● Business case and use cases introduction● Technical overview of the main use cases● Citizen sensing (i-Log)● Summary and future work

Overview

Trento, Italy

Get to know the city of Trento

Smartest mid-sized city in Italy1 iCity Rate, 2017

Population: 120.000 (2017)

Capital of Trentino province (Italy)

1

High quality of life

IEEE Core Smart City

Mobility & transport

Innovative data collection tools

Meaningful analysis

Challenges of a smart city

Trento, Italy

Visualization solutions

The use casesMobility Office

Municipality of Trento

Fig.1 Use cases definition

CITIZENS

Ideas contest

List of use cases

PERSONAL MODAL SPLIT05 ● CITIZENS

PARKING AVAILABILITY

02 ● MUNICIPALITY / CITIZENS

MODAL SPLIT01 ● MUNICIPALITY

CITIZEN DASHBOARD06 ● CITIZENS

04 ● MUNICIPALITY

PARKING AVAILABILITY

COMPLETING INFORMATION

ABOUT MOBILITY

INFRASTRUCTURE

MUNICIPALITY DASHBOARD

03 ● MUNICIPALITY / CITIZENS

COMPLETING INFORMATION

ABOUT MOBILITY

INFRASTRUCTURE

An indicator providing a basic overview

of transport network usage

MODAL SPLIT01

Fig.1 Modal split computation

Phone interviews

Costly & inaccurate

PARKING AVAILABILITY02

Bike parkings

Car parkingsMotorcycle

parkings

Fig.2 Types of parking

AVAILABILITY

On-street paidOn-street unpaid

MOBILITY

INFRASTRUCTURE03

Bike racks

Freight load / unload parking

areas

Motorcycle parkings

Fig.3 Mobility

infrastructure

LOCATION & AVAILABILITY

Disabled people parking areas

QROWD is the way!

QROWD toolkit i-Log app

Incentives Analysis

Visualization

ML & Big Data

Citizen

sensing

Incentives Analysis

VisualizationML & Big Data

Modal split in QROWD

Public &

Private Big

Data

Parking in QROWD Crowdsourcing &

gamificationIntegration

& analysis

Visualization

+

Crowdsourcing Gamification

Analysis

Visualization

in QROWD

Mobility infrastructure

+

Human-in the-loop

Ideas competition

Awards

QrowdLabServices for

citizens

Citizen engagement

CITIZENS

PERSONAL MODAL SPLIT05 ● CITIZENS

COMPLETING INFORMATION

ABOUT MOBILITY

INFRASTRUCTURE03 ● MUNICIPALITY

PARKING AVAILABILITY02 ● MUNICIPALITY

MODAL SPLIT01 ● MUNICIPALITY

CITIZEN DASHBOARD06 ● CITIZENS

MUNICIPALITY DASHBOARD04 ● MUNICIPALITY

Implementation status

● Business case and use cases introduction● Technical overview of the main use cases● Citizen sensing (i-Log)● Summary and future work

OverviewWP2

Mobile app for

engaged

citizens

Trento, Italy

Municipality Dashboard06

System overview

Municipality/CitizenDashboard

QROWD Architecture

WP2

Municipality Dashboard

Architecture

Modal Split

Completing Mobility

Infrastructure

Paid crowdworkers (PC)

● Crowdsourcing tool: VCE● Existence and location● Point of interest:

○ Car: Disable, Freight load/unload○ Motorcycle○ Bike: Bike racks

Citizen feedback (CF)

● Crowdsourcing tool: i-Log● Existence, location, availability● Point of interest: same● Availability: 2 half of project

Completing Mobility

Infrastructure

Parking Availability

Car● Off-street

○ Mechanisms: Context Broker● On-street

○ Paid■ Mechanisms: Context Broker

○ Unpaid: Disabled, freight■ Mechanisms: Crowdsourcing■ Data: User feedback in i-Log

Motorcycle● Mechanisms: Crowdsourcing● Data: User feedback in i-Log, camera

Bike● Bike-sharing

○ Mechanisms: Context Broker● Bike racks

○ Mechanisms: Crowdsourcing○ Data: User feedback in i-Log, camera

● Business case and use cases introduction● Technical overview of the main use cases● Citizen sensing (i-Log)● Summary and future work

OverviewWP2

Technical

overview &

Visualization of

results

Visualization

Trento, ItalyTrento, Italy

The i-Log application

i-Log is a smartphone application developed by the University of Trento used for people-centric sensing

We need a tool to connect with the citizens

There is the need to understand the user behaviour, needs and routines

How she moves, how she interacts with the city and its infrastructure

Why we need this solution?

Smartphones

A person uses the

smartphone for an average

of 3 hours per day, which

is 19% of the useful time.

87% of UK teenagers never

leave their smartphone

during the day [1].

[1] https://www.comscore.com/Insights/Blog/Mobile-Matures-as-the-Cross-Platform-Era -Emerges[2] https://www.deloitte.co.uk/mobileuk/assets/pdf/Deloitte-Mobile-Consumer-2016-There-is-no-place-like-phone

Smartphone’s sensors data

Citizen’s feedback

How does i-Log work?

Through i-Log, the citizen can contribute with two different types of data:

Location

Light

Compass

Gravity

Magnetic

Pressure

i-Log can generate a total of 40 streams from the smartphone internal sensors.

Personal Big Data

Smartphone Sensing

i-Log is not interfering with other applications and does not affect their usage. For 99% of the time i-Log works in the background and uses only a notification

Background execution

Sensor data are stored temporarily on the phone and downloaded every time a Wi-Fi connection is available

Low resources needed

In order to save battery and allow continuous sensing, specific strategies have been implemented

Efficient sensing

Smartphone Sensing

Characteristics

Unobtrusive sensing

i-Log can adapt to situations that arise while an experiment is running, it can be remotely configured:

How frequently the sensor data must be generated

How often the questionnaire should be administered

Experiments configurability

Select which sensors to generate data from

Smartphone Sensing

Characteristics

The user is provided with a detailed tutorial about sensing permissions and informed consent

The user provides her consent

A notification informs the user that i-Log is running and she can stop it anytime

She is always informed of i-Log running

The data is safely stored on the smartphone and cannot be accessed

Security on the device

GDPR compliant

Smartphone Sensing

Characteristics

Citizens in the loop

Human Factor

i-Log is compliant with all the Google Play store requirements in terms of stability and transparency towards the users.

It is freely downloadable

i-Log on Google Play Store

i-Log is publicly available

● Business case and use cases introduction● Technical overview of the main use cases● Citizen sensing (i-Log) ● Summary and future work

Overview

Trento, Italy

● Technological point of view○ Separation of the Citizen and Municipality dashboards○ Further usage of Qrowd-DB○ Report final version of dashboard(s)○ More experiments within the QrowdLab -> Modal split

official calculation○ Focus on the Deployment and Evaluation of the business

case ○ Running the pilot in Trento!

● i-Log: extend functionalities, implement the Challenges for Mobility Infrastructure & Parking Availability in accordance with the requirements of the BC

● Citizen engagement:○ Run more experiments involving citizens○ Progressively increase the number of participants

Call for actions

Achievements

M6

Compilation and assessment of the Municipality of Trento’s datasets

M12 M18

Ideas contest

Requirements and design of the Business Case

Requirements for technical packages WP4 - WP8

Dashboard mockup

Adopting i-Log and requirement analysis for the use cases

Implementation of use cases

Usage of QROWD components

Development of an intuitive and responsible dashboard

Development and deployment of i-Log in QrowdLab

Driven-by experimentation: QrowdLab in Trento