2. Objectives and Motivation
Massive Urban Scanning
Hundreds of public transportation vehicles, can give us a
constant and reliable stream of information
Private vehicles complement the information with more
roads and traffic awareness
Increasing Safety and Energy Awareness on ITS
By teaching drivers and companies after data analysis
If you want to sense the environment…
Roads are everywhere (that matters)
Smartphones and sensors too!
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9. Initial Setup and Trials – Porto, Portugal
10 Probe Buses of the main Porto Carrier
Data from GPS, Wifi, Bluetooth, Accelerometer and ECG
500 Taxis
Real-time 1 Hz GPS traces and taxi status (On service,
waiting, etc…)
Volunteers with private cars
Data from GPS, Wifi, Bluetooth, Accelerometer, OBD
and ECG
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10. Initial Setup and Trials – Porto, Portugal
GPS 0.5s delayed, 0.2Km/h of average speed difference
Before you drive into tunnels
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11. Visualization
Google Earth or Maps:
KML file-based – Placemarks’ XML
Very user friendly
Spatial and Time correlations
Many ways to show other data:
Color of placemark
Height
Type
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15. Mobile Application
Collect GPS and Accelerometer
data in real-time
Feedback about fuel consumption
and emissions in real-time
OBD data may be used to calibrate
model
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16. Web Interface
Be aware of own driving
profile
Calculate and compare
consumptions for own trips
Do I consume more or less
than others in my vehicle
category?
Are there more efficient
routes?
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17. NIST Cloud Definition
“Cloud computing is a model for enabling ubiquitous,
convenient, on-demand network access to a shared
pool of configurable computing resources (e.g.,
networks, servers, storage, applications, and services) that
can be rapidly provisioned and released with minimal
management effort or service provider interaction.“
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18. Can you convince me that our
project would profit from
“cloud computing”? How?
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