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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.
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Open Transport Map:OpenHarmonized 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 • Roadtransportation • 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 Theroad network of OTM itself • Harmonizationprocess: • 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
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
Research approach, Methodology • Calculation of traffic volumes: • Traffic generators • Traffic flow Destination matrix Zones Demographic data • Modal split • Traffic Flow allocated on the net • Public: • Individual: cars cyclists pedestrian bus train city transport … volume of traffic
Research approach, Methodology • Export into GIS and visualization
Major Outcomes/Results www.opentransportmap.info
Conclusion and outlook • Open Transport Map as an eligible source of information for road transport planning • Open Transport Map is freelyavailable – OpenData 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
Conclusion and outlook Futureworks: • Apache Hadoop software libraryusage – extensionofcalculated area • Capacityestimation • Update of network / demographic data / TrafficVolumes