Big Data & the Transport Societal
Challenge
1st Workshop Follow-up
Policy point of view
Maxime Flament
ERTICO – ITS Europe
Big
Data
New data
Collection
Storage
Capacity
Computing
Power
Enhanced
Sensing
Communication
Technologies
2
 Near-real time use and transmission of
massive amount of data
Big Data Chain
3
Source: “Big Data and Transport, Understanding and assessing options”, OECD report, 2015
Big Data in Road Transport
Public
Transport
Urban
planning
RTTI & Traffic
Management
Fleet
Logistics
Vehicle
monitoring
Product
development
Customer
Satisfaction
Behaviour
studies
[…]
4
Potential Impacts for transport
• Resource-efficient transport that respects the
environment
• Safer mobility
• Better and more informed door-to-door mobility
• Less congestion and unforeseen delays
• Socio-economic and behavioural understanding
• Secure exchange of personal information
• Forward looking policy making
• Global leadership for the European transport
industry
5
Breakout session:
Policy - Public/private role
• Role of public side to setup open data
environment
– Example Mobility as a Service (MaaS)
• What is expected of EU:
– promote the use of open data
– Regulate only if needed!
• Data center regulations:
– minimum service agreement
6
Breakout session:
Policy -Privacy : Re-use right
• More guidance on principles of privacy by
design
– Checklist for testing if privacy for design is
respected
• Better guidelines how to anonymise and
aggregate data
• Specific privacy framework?
7
Breakout session:
Policy - Consumer choice
• “Free flow initiative” of EU
• “MyCarMyData” of FIA
8
“We know everyone who breaks the law; we
know when you're doing it. We have GPS in
your car, so we know what you're doing. By the
way, we don't supply that data to anyone.”
J. Farley, FORD, 2015
Breakout session:
Policy - Standardisation
• Should policy let the market to decide
• Should policy build on best practices
• Should open APIs be encouraged
9
Maxime Flament
m.flament@mail.ertico.com

SC4 BigDataEurope - Policy - Maxime Flament

  • 1.
    Big Data &the Transport Societal Challenge 1st Workshop Follow-up Policy point of view Maxime Flament ERTICO – ITS Europe
  • 2.
  • 3.
    Big Data Chain 3 Source:“Big Data and Transport, Understanding and assessing options”, OECD report, 2015
  • 4.
    Big Data inRoad Transport Public Transport Urban planning RTTI & Traffic Management Fleet Logistics Vehicle monitoring Product development Customer Satisfaction Behaviour studies […] 4
  • 5.
    Potential Impacts fortransport • Resource-efficient transport that respects the environment • Safer mobility • Better and more informed door-to-door mobility • Less congestion and unforeseen delays • Socio-economic and behavioural understanding • Secure exchange of personal information • Forward looking policy making • Global leadership for the European transport industry 5
  • 6.
    Breakout session: Policy -Public/private role • Role of public side to setup open data environment – Example Mobility as a Service (MaaS) • What is expected of EU: – promote the use of open data – Regulate only if needed! • Data center regulations: – minimum service agreement 6
  • 7.
    Breakout session: Policy -Privacy: Re-use right • More guidance on principles of privacy by design – Checklist for testing if privacy for design is respected • Better guidelines how to anonymise and aggregate data • Specific privacy framework? 7
  • 8.
    Breakout session: Policy -Consumer choice • “Free flow initiative” of EU • “MyCarMyData” of FIA 8 “We know everyone who breaks the law; we know when you're doing it. We have GPS in your car, so we know what you're doing. By the way, we don't supply that data to anyone.” J. Farley, FORD, 2015
  • 9.
    Breakout session: Policy -Standardisation • Should policy let the market to decide • Should policy build on best practices • Should open APIs be encouraged 9
  • 10.