akrivi vivian kiousi, head of transport lab rid · 2020-06-10 · academia industry collaboration:...
TRANSCRIPT
Webinar: The role of smart cities in meeting objectives of the Green Deal
&
The role of policy in the big data landscape
(The case of Transforming Transport )
Akrivi Vivian Kiousi, Head of Transport Lab RID
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TT Policy steps …
ASSESS Key emerging topics from all 13 transport and
logistics pilots via targeted interviews with pilots leaders
VALIDATE & EXCHANGE VIEWS on emerging topics
with stakeholders and advisory Group of TT (HLAB)
and stakeholder at targeted events
SHARED our outcomes with the policy community and let
policy makers decide on the options ( ITF, Riga, Public
deliverable) – D3.13 Policy Recommendations, Big Data
White Paper (driven by TNO)
CREATED TT policy recommendations document
TT SELF-ASSESMENT– went through the TT consortium
and resources in order to identify emerging topics and build
a ground of discussion for the targeted interviews with
pilots leaders
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Our results …
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Policy recommendations: GDPR to foster data
economy and not being a barrier
Pilots came across fragmented policies regarding GDPR across
Europe.
many stakeholders were hindered to share data, making
big data analysis and use difficult and sometimes not
possible.
Pilots did follow specific methodologies to facilitate this
which delayed their business.
i. Push the EU member states to adopting GDPR at the same
level since until now we don’t have the same level of
adoption
ii. Extra training or the inauguration of assistive tools was
suggested by pilots,
iii. Natural language explanations to be offered for everyday
users current guidelines are stiff and too legal oriented (i.e. via an
online tool)
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Policy recommendations: GDPR to foster data
economy and not being a barrier
Other Suggestions
i. There is an expressed need for the authorities to become
more alert on cases where GDPR weakens competition and
competitiveness, and in these occasion authorities could direct
lawmakers to not hesitate to make necessary adjustments for
helping business.
ii. Pilots have suggested that national or regional authorities be
the ones interpreting complicated issues such as:
i. who owns the data and
ii. which data are personal
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Policy recommendations: Data Interoperability to
foster collaboration
Many pilots raised the issue they faced when it came to
interact/collaborate with other companies suggesting:
I. More actions should be taken to foster data,
i. More guidance or definition to come from higher level authorities
on how data should be stored / used etc
ii. Data Integrity issue (need for regulation to push stakeholders on
the type of data they provide across platforms and ensure that
these data are reliable and of good quality)
iii. Standarisation issues mentioned by pilots: issue of data
digitization is mentioned several times for cases where not all
data follow the necessary format required by big data
technologies.
iv. type of data they provide across platforms and ensure that these
data are reliable and of good quality)
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Policy recommendations: Data Interoperability
to foster collaboration
TT can link to particular areas of activities that the
commission is doing at the moment.
New PSI directive on open data: https://ec.europa.eu/digital-single-market/en/guidance-private-sector-data-sharing
• On the current document of the PSI report and particularly
Article 13 the high Value Datasets are highlighted:
o Many Models have been created in TT and a lot of
datasets took time to be massaged.
o Example every dataset was of different quality
and format in airports
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Policy recommendations: Move to an Open
Data Landscape?
Many pilots raised the issue use of open data being
necessary for the offerings of new services or to
generate research
Additional further assistance from the EC and the national authorities is
required in educating the domain(s) stakeholders on:
o the understanding of what is open and big data,
o the value of open and big data
o how we can monetise its use and develop new business
models and
o to assist them to think more openly on sharing information.
Specific examples:
• In Airports and railway companies/stakeholders are hindered
into opening their data since they consider that such data
reveals information to their competitors
• Ports expressed different opinions depending on the type of
organisations involved and business at stake.
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Policy recommendations: Move to an Open
Data Landscape?
TT can link to particular areas of activities that the
commission is doing at the moment.
Business to Government Working Group
• On the current document worked by the expert Group TT suggests
that :
o Governments act as a neutral place where all data sharing
happens and since they have the strength through regulation to
decide on data handling for appropriate use.
Specific examples:
• In the TT urban pilots the need for data sharing has been
demonstrated. Companies that won a concession – (public
contracts) do not like to share their data with others. If these
data become available, via government push, cities can
understand better the logistics dynamics and be in the position
to analyse traffic flows and do better handling of traffic.
• In the TT pilot for railway, Thales had to do a special
agreement to use weather data that are owned by a company
operating in the station.
Data Market Economy should move to a structure where agreements and sharing becomes easy to
understand
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Policy recommendations to enhance the
Academia Industry collaboration:
TT demonstrates results to create:
trust from the industry side to push the big data
use via being open to new capabilities,
foster the shift of regulation to incorporate big
data in several processes.
So far things are rather strict and change is not
coming fast enough to allow the fast adoption of
big data.
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Participated in targeted events sharing the identified trends
and suggestions for recommendations and cooperated with
LeMO project creating a policy roadmap for big data
Shared with Policy Canvas ideas during BDV session and
contributed at their document
Gave a webinar after the latest presentation at INSME on
how big data impact the business domain sharing the policy
recommendations and observations deriving from the pilot
interview activity.
Targetted Steps for sharing the TT
insights
Shared with HiReach TUG members at the latest event in
Bucharest the recommendations
Provided input for the BDV PPP team to prepare the
position paper on policy .
Pilot examples Integrated Urban Mobility
Integrated Urban Mobility
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Initial pilot – Tampere
Replication pilot - Valladolid
Partner Role
VTT Pilot lead, solution provider
Infotripla Data integrator & service provider
Mattersoft Data integrator & solutions provider
Taipale Telematics Data & solutions provider
City of Tampere Data provider & end user
Partner Role
CARTIF Pilot lead, solutions provider
PTV Data analytics & platform provider
City of Valladolid Data provider & end user
Lince End user & data provider
TomTom Route provider
The pilots
Integrated Urban Mobility
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Main needs of the domain
• Improving real-time situational awareness– Use available and new data sources to
increase the knowledge of the traffic status for the Traffic Management Center (TMC) operator and the public
• Policy support– Development of traffic models for
supporting city council decisions, exploiting new and existing data sources
• Sustainable urban freight delivery– Tools exploiting big data for optimising
urban freight delivery
Integrated Urban Mobility
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Commonalities and differences between
the pilots
• Tampere– Focus on real-time data for situational
awareness and support of real-time decisions
• Valladolid– Traffic modeling to support city council
decisions
Johan Scholliers (VTT), Mika Kulmala (City of Tampere),
Jarno Kanninen (Mattersoft), Juha Laakso (Infotripla)
Heikki Karintaus (Taipale Telematics)
Tampere Integrated Urban Mobility Pilot
Tampere Integrated Urban Mobility and
Logistic Pilot
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Achieved objectives
• Provision of tools for urban TMC for Improved situtional awareness– Dashboard for urban TMC – Fluency model– Deployment of new real-time data
sources, such as traffic cameras– Methods for detecting disturbances
from sensor data
• Tools for travelers– Personalised automated messaging for
critical events
• Delivery parking management system– Web-based tool for delivery parking area
management and booking for authorities and logistic operators
Tampere Integrated Urban Mobility and
Logistic Pilot
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Data sources
Data set Amount update
Infrastructure sensors
Loop detectors at traffic lights 2700 1 min.
Permanent traffic counters 33 1 min
Roadside weather stations 37 10 min
Traffic cameras City 28 2-10
minTMF (preset) 76
FCD data
buses 305 1 sec
Vehicles operating in the city
(taxis, freight)
100+ 15 sec
Social media
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User feedback
Tampere Integrated Urban Mobility and
Logistic Pilot
• Tools for TMC are useful to support the work of TMC operator– Dashboard provides quick overview of the situation– High potential for smaller cities, which do not have TMC infrastructure– Automated messaging important as drivers can be warned more rapidly, also
outside urban TMC working time, and allows to concentrate on mitigationactions.
• Parking– Operator (Niinivirta): booking makes operations easier, as parking place can be
guaranteed. Service was appreciated, but integration to existing systemswould be valued.
– Driver: service intuitive and easy to use. – City Requirement: Should be open to all logistic actors, and easy to use for the
drivers, and should be effectively used
Michael Schygulla, PTV Group & Pedro Touya, Valladolid City Council &
Daniel Clavero, Grupo Lince & Marta Galende, Fundación CARTIF
Valladolid Integrated Urban Mobility and Freight Pilot
Mobility department / Traffic modellers
Microscopic Approach
O1.a – Traffic Simulation Models
O2 - Analyse freight delivery scenarios
Macroscopic Approach
O1.b Assess and calibrate emerging data sources
Logistic operators
Deliveries services
O3 - Planning tool for delivery fleets
Valladolid Integrated Urban Mobility and
Freight Pilot
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Objectives Achieved
Stage 2. Dashboard with micro-simulation for detecting micro-level traffic patterns
Stage 3: Macro-Approach & (micro)Dashboard
improvement
O1.a. New model for
Area B
O2. New scenarios for Area B
O1.b. Insights
available
O3. Improved planning
tool
extendedimprovednew
Valladolid Integrated Urban Mobility and
Freight Pilot
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Data Sources
12 datasets
No personal data
Access with approval
• Historical data:
55,76 Mb
• Real/Live data:
8,59 Mb/day
Dataset Tech. Data Volume Update Frequency
1 Lince GPX Traces GPX 1 Mb/day Daily
(last updated
30-04-18)
2 Lince GPX Traces
From 4GFlota
XML 0,31 Mb/workdayXvehicle
(3 vehicles)
Daily
3 RemoUrban
GPX Traces
CSV 0,17 Mb/dayXvehicle
(44 vehicles)
Daily
4 Valladolid Magnetic Loops XLS 5,27 Mb/month Quarterly
5 Valladolid Ora Data XLS 200Kb No updates
6 Valladolid Pneumatic Loops XLS 700 Kb No updates
7 Valladolid Traffic Incidences DOC 42 Mb No updates
8 Valladolid Traffic Lights PDF 2Mb No updates
9 Valladolid Weather Data XLS 0,93 Mb/year No updates
10 Valladolid Freight
Parking Spaces
KMZ 237Kb No updates
11 OD-Matrices
from Mixed Fleet
XLSX 6,88 MB No updates
12 OD Matrices
from Cellphone Data
XLSX 3,74 MB No updates
Valladolid Integrated Urban Mobility and
Freight Pilot
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Pilot Release 2 Demonstrator
Conclusion
• External data have better temporal resolution
• Mobile phone data lack mode information
• FCD data only for car, all other modes missing
• Model weak in external-internal and through traffic
• Freight traffic unsatisfactory in all sources
Recommendation: External data best for
• Within-day demand time profile
• External-internal and through traffic
Thank you!
Impact Leader Akrivi Vivian Kiousi
INTRASOFT International
Co-ordinator: Rodrigo Castineira
INDRA
www.transformingtransport.eu
This project has received funding from theEuropean Union’s Horizon 2020 research and innovation programme under grantagreement no. 731932
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Thank you!
Johan Scholliers,
VTT Technical Research Centre of Finland,
Juha Laakso, Infotripla Oy,
Jarno Kanninen, Mattersoft Oy,
Heikki Karintaus, Taipale Telematics,
Mika Kulmala, City of Tampere,
This project has received funding from the European Union’sHorizon 2020 research and innovation programme under grant
agreement no. 731932
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Thank you!
Michael Schygulla & Pedro Touya &
Daniel Calvero & Marta Galende
Contact Details
PTV Group [email protected]
Valladolid City Council [email protected]
Grupo Lince [email protected]
Fundacion CARTIF [email protected]
http://www.transformingtransport.eu