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?