big data europe the transport pilot in thessaloniki - josep maria salanova
TRANSCRIPT
Dr. Josep Maria Salanova GrauCenter for Research and Technology Hellas - Hellenic Institute of TransportHead of “Data collection and processing, algorithm design, and use of specialized transport software packages” laboratoryEmail: [email protected]: www.hit.certh.gr
Big Data Europe. The transport pilot in Thessaloniki.
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
Mobile sensors in Thessaloniki• http://160.40.63.110/desktop/
Mobile sensors in Thessaloniki• www.trafficthess.imet.gr/
Mobile sensors in Thessaloniki• www.trafficpaths.imet.gr
Mobile sensors in Thessaloniki• http://opendata.imet.gr/
Datatank (Back office + APIs)CKAN (front end)
BDE pilot in Thessaloniki
•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 DataMap Matching Traffic Classification and
Prediction
Classification and Prediction Data
Bluetooth Data
Results
•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 DataMap Matching Traffic Classification and
Prediction
Classification and Prediction Data
Bluetooth Data
Results
BDE pilot in Thessaloniki – pilot 2&3
Map Matching Algorithm
BDE pilot in Thessaloniki – pilot 2&3
rownum recorded_timestamp 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
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