Open Transport Map Open Harmonized Dataset or Road

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 gorin@kgm. zcu. cz

Motivation, problem area • Road transportation • Support instrument for decision making (planning)

The Topic www. opentransportmap. info

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

Research approach, Methodology

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

Research approach, Methodology

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

Research approach, Methodology • Calculation of traffic volumes: 1. Traffic generators 2. Traffic flow Destination matrix Zones Demographic data 3. Modal split • Individual: cars cyclists pedestrian 4. Traffic Flow allocated on the net • Public: bus train city transport … volume of traffic

Research approach, Methodology • Export into GIS and visualization

Major Outcomes/Results www. opentransportmap. info

Major Outcomes/Results

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 (ODb. L) • 5+2 pilot cities vs. Europe • Open. Transport. Map – 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

Conclusion and outlook Future works: • Apache Hadoop software library usage – extension of calculated area • Capacity estimation • Update of network / demographic data / Traffic Volumes