Big data and new sensing and communication technologies are enabling the near-real time collection and transmission of massive amounts of transport data. This big data can be used across the transport sector for public transport, urban planning, traffic management, fleet logistics, vehicle monitoring, product development, and behavior studies. The potential impacts of big data for transport include more resource efficient, safer, better informed, less congested mobility with less delays; improved socio-economic and behavioral understanding; secure personal information exchange; forward-looking policymaking; and global leadership for the European transport industry.

1. Big Data & the Transport
Societal Challenge
Maxime Flament
ERTICO – ITS Europe

2. 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

3. Big Data Chain
3
Source: “Big Data and Transport, Understanding and assessing options”, OECD report, 2015

4. Big Data in Road Transport
Public
Transport
Urban
planning
RTTI & Traffic
Management
Fleet
Logistics
Vehicle
monitoring
Product
development
Customer
Satisfaction
Behaviour
studies
[…]
4

5. 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

6. Mobility as a Service
6

7. Maxime Flament
m.flament@mail.ertico.com