This document discusses an IoT approach for connected vehicles that is partially funded by the European Commission. It involves using a virtualized on-board unit to identify and execute different composite services based on real-world information. This real-world information comes from car sensors, parking systems, open GPS data, and is virtualized. It can then be used to provide services to drivers like finding available parking near their current or destination locations based on learned user behavior patterns.

1. Partially funded by the European Commission
7th Framework Programme
An IoT Approach
for the Connected Vehicle
Identify and Execute Different Composite Services
Real World Information
Virtualized On-Board Unit
VO Registry
Virtualization of Real World Objects & Sources of information
• Growth of Real World Information
• Providing aggregated statistical
data on Parking Usage and traffic
behaviour (potentially used to
feed traffic prediction models)
Real World Information
Car Sensors
Parking Systems
(Open Data)GPS Position
Virtualized Multimedia
Infotainment On-Board Unit
Different Composite Service
availability, based on Real
World Knowledge
“Parking around Me” Service
Input:
 Current position“Parking near Destination” Service
Input:
 Current position
 Destination
User Behaviour Model
iCore User
• Learning of recurrent User Trips
• Prediction of User Trip and
Destination
• Improved/enhanced information
services to the User
Predicted User Trip
and Destination
New info
in the RWI DB
Parking in a Smart City...
• A Vehicle-to-Infrastructure Interaction case - solved with the help of the iCore Layered IoT Architecture
Get Vehicle Position
from GPS Virtual
Object
Send Real-Time
information to the
Driver
Get Parking availability
from Parking System
Virtual Object (Open Data)
Use VO Registry to
discover Parking VO
based on context
(Adapt to Context)Learn and predict
Driver’s Trip and
Destination
Exploit Predicted User
Behaviour to Identiify
Composite Service
(Adapt to the User) Launch the event-
based Composite
Service
Feed statistics
data on Parking
Usage