sc4 bigdataeurope - transport data and technologies sean gaines 11.12.2015
TRANSCRIPT
BIG DATA EUROPE FOR SMART, GREEN AND
INTEGRATED TRANSPORT
1ST WORKSHOP FOLLOW-UPDATA AND TECHNOLOGYSeán Gaines, Vicomtech-IK4 - 20151211
Background and Objectives
Backgroundo BDE aims to create a foundational work for
Euroepan companies to build innovative Big Data Solutiosn
o The BDE includes objectives focused on the Transport Societal Challenge
Objectiveso Provide input to the BDE platform designo Present a high level and consistent view of the
Transport Data and Technology needs and potential
Summary of Workshop Session
Three Transport dimensions discussed:o Infrastructureo Vehicleo Users
Types of data within each dimension were discussed
An analysis of the Volume, Velocity and Variety of each type was done
InfrastructureData Types/Function Volume Velocity Variety
Dynamic Maps/Attributes
+ - +
Maintenance - - +Operational + + +Foresight ? ? ?
VehicleData Types/Function Volume Velocity Variety
Location + - +Driver Monitoring 0 0 +Performance + + +Telemetry + + -
Private UsersData Types/Function Volume Velocity Variety
Events ? + +State - - +Behaviours - + +Personal Activity - + +
Conclusions Commonalities between data types and
their 3V characterisitics do exists but need to be better understood between domain experts
High diversity in application of Big Data technologies in transport
A more complete understanding of data challenges is hindering the identification of real solutions
Open Issues and Challenges
Building Big Data expertise in the domain Privacy is and will remain a significant issue Control and measurement of the quality of
data and therefore the knowledge derived form it
Lack of understanding between domains could lead to rifts between domains
Rifts would further compound the problem of data silos and hinder interoperability between big data solutions
Open Issues and Challenges
Lack of Data Formats and Interoperability are a barrier
Data Loss from infrastructure, vehicles and users that will grow in an IoT world
Linking data across the domains Driving value from Transport data
sources Simple, in situ and economical
processing of data
Questions?