4. Traffic and Transport
Big data in Traffic and Transport is everywhere
− Road Sensor data
− AIS data
− Camera data
− Board computer data
− Parking data
− Public Transport Data
− Track and Trace Data
− Air traffic control data
− Open street map
5. Traffic and Transport
Big data in Traffic and Transport is everywhere
− Road Sensor data
− AIS data
− Camera data
− Board computer data
− Parking data
− Public Transport Data
− Track and Trace Data
− Air traffic control data
− Open street map
9. Personal mobility
− Detailed insight in origin and destinations and motifs
− Measure and simulate the effects of changes in:
– Policy
– Demography
– …
− Based on the Citizens and company addresses
− Case: Different views on Commuting traffic
13. Personal Mobility: Next Steps
− Modeling decision about means of transports
− Add public transport and bicycle as modes
− Determine the correct work location better using big data
18. Also for the inland waterways
0
10
20
30
40
50
60
0 10 20 30 40
Numberofships
Days
Lock Amerongen
Amerongen AIS
Amerongen IVS90
19. ESSnet Big Data on AIS data (WP4)
Obtain hands-on experience in the use of big data
for official statistics
20. Conclusions
− Mobility and transport: interesting topic to measure with big
data.
− In the future: enough information available to create detailed
simulations
− Detailed insight on the temporal and regional level on
transport of persons and goods
− International and interregional (cross border) patterns can
give new insights
21. Team members
Personal mobility
Marko Roos
Chantal Melser
Tim de Jong
Jade Cock
Mirela Causevic
Marijn Zuurmond
Edwin de Jonge
Martijn Tennekes
Marloes de Bruin-Verhoeven
Marco Puts
AIS
Tessa de Wit
Maarten Pouwels
Ioannis Tsalamanis
Martijn Tennekes
Kay Schröder
Mart Fijten
Marco Puts
This work could not have been realized without these people: