The following presentation was given by Prof. Ansar Yasar from the University of Hasselt during the e-SIDES workshop "Towards Value-Centric Big Data" held on April 2, 2019 in Brussels.

1. Big Data for Mobility Tracking Knowledge Extraction in Urban Areas
(Track&Know)
Prof. Ansar Yasar
University of Hasselt, BE
1
This project has received funding from the European Union’s Horizon 2020 research and innovation
programme under the Grant Agreement No 780754.
Towards Value-Centric Big Data:
Connect People, Processes and
Technology

2. Consortium
2Towards Value-Centric Big Data: Connect People, Processes and Technology, Belgium, Brussels 2/4/19

3. 3
T&K Vision
Track&Know will research, develop and exploit a
new software framework that aims at increasing
the efficiency of Big Data applications in the
transport, mobility, motor insurance and health
sectors.
Stemming from industrial cases, Track&Know will
develop user friendly toolboxes that will be
readily applicable in the addressed markets.
T&K vision is in accordance with …
• the EU Big Data Value Reference model
• the US Big Data Reference Architecture
model
Source: NIST Big Data Interoperability
Framework: Volume 6, Reference
Architecture, v.2, Jun. 2018.
https://doi.org/10.6028/NIST.SP.1500-6r1
Source: European Big Data Value Strategic Research
Innovation Agenda (SRIA), v.4.0, Oct. 2017.
http://bdva.eu/sites/default/files/BDVA_SRIA_v4_Ed1.1.pdf
Towards Value-Centric Big Data: Connect People, Processes and Technology, Belgium, Brussels 2/4/19

4. 4
• Platform to handle heterogeneous
streaming and archival data through
the use of newly created toolboxes
• Software Toolboxes, i.e.
• data-intensive computing
• interoperability
• usability
• standardisation
• All data from streaming and archival
data sources, as well as results from
toolboxes can take full benefit of the
computations of others, also taking advantage of seamless interoperability between their results.
• Platform Architecture
T&K Big Data Platform
Towards Value-Centric Big Data: Connect People, Processes and Technology, Belgium, Brussels 2/4/19

5. 5
• GPS location data from vehicle black boxes (provided by
Octo Telematics)
• Business cases:
• Insurance: using historic telematics, environmental, demographic
and geographic information, … gain
in-depth and accurate crash probability estimation
• Electric Cars: (i) cost-benefit of a switching to an electric car
mobility; (ii) matching global charging times and charging points to
drivers’ habits
• Car Pooling: (i) park decreasing due to sharable routes; (ii) cost-
benefit of switching to a sharing mobility paradigm; (iii) likelihood of
finding a proper sharable route that matches time and geographical
zone
• Case studies: London (metropolitan city), Rome (metropolitan city),
Tuscany, Italy (country-urban mixed area)
Insurance Domain Pilot
Sistematica S.p.A
BIG DATA VALUE FORUM 2018 – Workshop 2.3 Policy issues, opportunities and barriers in big data-driven transport Vienna Austria 14/11/18
Towards Value-Centric Big Data: Connect People, Processes and Technology, Belgium, Brussels 2/4/19

6. 6
• GPS and other sensor data (incl. fuel level and driver
behavior data) from vehicles (tracks) and their drivers
• Business objectives:
• Predictive maintenance
• Anomaly detection, reduction of false alarms
• Correlation of Fleet Data with external
Weather and Traffic services
• Fleet costs reduction
• Fleet downtime reduction
• Fleet response time improvement
• Improve driver behavior and reduce
accidents
• Datasets are geographically situated in Greece,
Albania, Cyprus and few in various EU countries
Fleet Management Domain
Vodaphone Innovus
Images produced by FRHF (Apr. 2018)
Towards Value-Centric Big Data: Connect People, Processes and Technology, Belgium, Brussels 2/4/19

7. 7
• A complete set of 5 years data from Obstructive Sleep Apnoea
(OSA) patients
• Business objectives:
• Improvement of response times (increasing new patients, follow-
up patients)
• Reduction of unnecessary travel (reduce patient travel distances,
courier costs, CO2 emissions
• Cost efficiency gains
• New methods of OSA diagnoses based on driver behaviour
• Datasets are geographically situated in London area and
Cambridge, UK
• OSA increases risks of strokes and other cardiovascular diseases.
• An OSA diagnoses results in the suspension of ones driving license
Medical Service Optimisation
(a) Network of Outreach Clinics staffed by PAP
(b) Patient Journeys in 2018 to get access to OSA service
Royal Papworth Hospital
Towards Value-Centric Big Data: Connect People, Processes and Technology, Belgium, Brussels 2/4/19
(a)
(b)
Images produced by ILS (Jan. 2019)

8. Medical Pilot Data Collection
• This pilots utilizes patient mobility information for two purposes:
• Reallocating resources to better cover the catchment area based on geo-
spatial analysis of pervious patient journeys and population propensity
• Provide a proof-of-concept approach to (a) study the effects and (b) better
diagnose obstructive sleep apnoea by collecting real-time driver behaviour
using an App on the patients phone
• Personal Information is not unavoidable it is required to get a clear
understanding
• Pseudo anonymisation is possible however enough points of information
exist to make de-anonymisation trivial.
8Towards Value-Centric Big Data: Connect People, Processes and Technology, Belgium, Brussels 2/4/19

9. Measures in place to ensure protection of
Citizen Data
• Better than industry standard security and encryption procedures
• Very limited access to the data
• High-levels of encryption of data at transmit, process and storage phases
• Testing data for biases before making available on the platform
• Ethical and informed processes to identify biases created by historic, socio-
demographics, and geo-political factors
• Informed consent of patients through:
• Training patient facing staff to adequately inform patients of the aims and
expected outcomes of the research, what data is being collected, all actors
involved, and how the data is handled and processed
• Involvement of citizen advocacy and support groups as active stakeholders in the
research process to help identify the potential of disenfranchisement of citizens
by adopted research practices
• A robust and continuous ethical process review process to monitor data, tasks,
outcomes and deliverables 9Towards Value-Centric Big Data: Connect People, Processes and Technology, Belgium, Brussels 2/4/19

10. Further Ethical Considerations
• Un-identified significant data biases not detected or fully understood
at this stage, but adversely affect results of our tools once ‘out in the
wild’ – Significant commercialisation and exploitation plan
• Duty of care to report occurrences of OSA behaviour found in non-
medical pilot driver behaviour data to relevant authority VS affecting
a professional drivers livelihood/affecting insurance rate of citizens.
10
WE DON’T HAVE ALL THE ANSWERS… YET
Towards Value-Centric Big Data: Connect People, Processes and Technology, Belgium, Brussels 2/4/19

11. Thank You
Project Manager and Point of Contact
Dr Ibad Kureshi
ibad.kureshi@inlecomsystems.com
Inlecom BVBA, BE
11
This project has received funding from the European Union’s Horizon 2020 research and innovation
programme under the Grant Agreement No 780754.