wp2 - intelligent urban transportation and...
TRANSCRIPT
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