Webinar presentation "Big data Europe the transport pilot in Thessaloniki " by Josep Maria Salanova

1. Dr. Josep Maria Salanova Grau
Center for Research and Technology Hellas - Hellenic Institute of
Transport
Head of “Data collection and processing, algorithm design, and use of
specialized transport software packages” laboratory
Email: jose@certh.gr
Web: www.hit.certh.gr
Big Data Europe. The transport
pilot in Thessaloniki.

2. Mobile sensors in Thessaloniki
• Stationary sensors network: Point to point tracking of MAC ids along
the network through 43 Bluetooth device detectors.
▫ Travel time estimation
▫ Route choice model calibration
▫ Origin – Destination matrix estimation / Mobility patterns estimation
▫ Traffic flow extrapolation
• Dynamic sensors fleet: Floating Car Data provided in real time by a
professional fleets composed of 1.200 taxis and 600 buses
▫ Traffic status estimation (average speed)
▫ Origin – Destination matrix estimation / Mobility patterns estimation
▫ Taxi/bus performance indicators
• Social media (geolocated tweets & Facebook check-in events)
▫ Activity patterns estimation
▫ Events / incidents detection
▫ Attraction models estimation

3. Mobile sensors in Thessaloniki
• http://160.40.63.110/desktop/

4. Mobile sensors in Thessaloniki
• www.trafficthess.imet.gr/

5. Mobile sensors in Thessaloniki
• www.trafficpaths.imet.gr

6. Mobile sensors in Thessaloniki
• http://opendata.imet.gr/
Datatank (Back office + APIs)
CKAN (front end)

7. BDE pilot in Thessaloniki

8. • Probe data that is used
▫ Floating Car Data (500-2.500 locations per minute)
▫ Bluetooth detections (millions of daily detections in 43
locations)
• Services that are being implemented
▫ Map matching
▫ Mobility patterns recognition and forecasting (ARIMA)
BDE pilot in Thessaloniki – pilot 1
GPS Data
Map Matching
Traffic Classification and
Prediction
Classification and
Prediction Data
Bluetooth Data
Results

9. • Probe data that is used
▫ Floating Car Data (500-2.500 locations per minute)
▫ Bluetooth detections (millions of daily detections in 43
locations)
• Services that are being implemented
▫ Improved topology-based map matching
▫ Mobility patterns recognition and forecasting
(ARIMAX + NN)
GPS Data
Map Matching
Traffic Classification and
Prediction
Classification and
Prediction Data
Bluetooth Data
Results
BDE pilot in Thessaloniki – pilot 2&3

10. Map Matching Algorithm
BDE pilot in Thessaloniki – pilot 2&3

11. rownum
recorded_times
tamp
transfer osmids
263005 08:43:18 1 213910068
263171 08:43:27 1 16457977
263350 08:43:37 1 213910068
263657 08:43:55 1 213910068
263919 08:44:10 1 22564731
264174 08:44:25 1 222137984
264701 08:44:56 1 222137984
264813 08:45:04 1 222137984
265071 08:45:19 0 22564731
265363 08:45:35 0 213910068
265565 08:45:48 0 213910068
265737 08:45:57 0 16457977
265906 08:46:07 0 213910068
Map Matching Algorithm
BDE pilot in Thessaloniki – pilot 2&3

12. Start
Historical Link Traffic
State (FCD)
Historical Link Traffic State
Classification
Historical Link Traffic
State (Loop Detectors)
Historical Link Traffic
State BT
Compare Traffic States
(ML, NN)
Define Current Link Traffic State
Predict
(ARIMAX | NN)
Store in Historical States
Validate Prediction
Traffic Classification and Prediction
BDE pilot in Thessaloniki – pilot 2&3

13. Dr. Josep Maria Salanova Grau
jose@certh.gr +30 2310 498 433
Thank you!