1. Open Transport Map: Open Harmonized Dataset or Road Network
Karel Jedlička, Pavel Hájek, Jan Ježek, František Kolovský, Tomáš Mildorf, Karel Charvát, Dmitrii Kozhukh, Jan Martolos, Jan Šťastný and Daniel Beran
University of West Bohemia
Czech Republic

2. Motivation, problem area
Road transportation
Support instrument for decision making (planning)
Talking about the field of Road transportation
What if – navigation from A to B – but the traffic jam or accident happened
Convenient support instrument for decision making on the road network

3. The Topic

4. Research Objectives
How to effectively plan a road transportation in an area of interest
How to create a source of an information for planning
Allow routing
Calculation of traffic volumes
Visualization of traffic volumes
Convenient support instrument for decision making on the road network
OpenTransportMap
Combination of methods – traffic volumes calculation and prediction
Appropriate visualization form of traffic intensities on a map

5. Research approach, Methodology

6. Research approach, Methodology
The road network of OTM itself
Harmonization process:
Understanding source data – OpenStreetMap
Understanding target data – INSPIRE Transport Network compatible data model
Definition of attribute and geometry mapping steps
Practical realization of the defined steps

7. Research approach, Methodology

8. Research approach, Methodology
Calculation of traffic volumes:
Topology of the network
Define traffic generators + linking to the network
Demographic data from the traffic generators
Estimation of traffic flows in the network
Model for variations of Intensities

9. 9

10. Research approach, Methodology
Calculation of traffic volumes:
Traffic generators
Zones
Demographic data
Traffic flow
Destination matrix
Modal split
Individual:
Public:
cars
cyclists
pedestrian
bus
train
city transport …
Traffic Flow allocated on the net
volume of traffic

11. Research approach, Methodology
Calculation of traffic volumes:
Priklad toho, jak se to pocita na realnem priklade viz Beran

12. Research approach, Methodology
Export into GIS and visualization
Annual average of daily traffic volume (AADT);
Daily traffic volume (different for each day from Monday to Sunday);
Hourly variations of traffic volume

13. Major Outcomes/Results

14. Major Outcomes/Results

15. Conclusion and outlook
Open Transport Map as an eligible source of information for road transport planning
Open Transport Map is freely available – Open Data Commons Open Database License (ODbL)
5+2 pilot cities vs. Europe
OpenTransportMap
INSPIRE compatible routable data layer on the base of OSM
Birmingham, Antwerpen, Issy-les-Moulineaux, Liberec, Latvia, Ghent, Pilsen
Combination of methods – traffic volumes calculation and prediction
Appropriate visualization form of traffic intensities on a map

16. Conclusion and outlook
Future works:
Apache Hadoop software library usage – extension of calculated area
Capacity estimation
Update of network / demographic data / Traffic Volumes
Apache Hadoop software library is a framework that allows distributed processing of large data sets across clusters of computers using simple programming models
The capacity of the road segment is not standardized across the Europe or around the World generally
Actualization EU not much, Africa frequently