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UID:pretalx-foss4g-2022-JNECGN@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T161500
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DESCRIPTION:The new Road Traffic Act of Finland (effective since 2020) requ
 ires \nthe road management authorities to provide information about the ex
 isting road \nsigns\, along with other similar infrastructure such as traf
 fic lights and road paintings\, to Traficom\, \nthe Finnish Transport Infr
 astructure Agency. The data is stored in Digiroad\, the national database 
 of open \nstreet and road data\, also hosted by Traficom. To help the diff
 erent actors in public sector and elsewhere fulfill this legal obligation\
 , \nas well as providing tools for infrastructure management and maintenan
 ce more generally\, FOSS4G software can play an important role.\n\nIn this
  talk\, we present results from our recent project related to this effort.
  In the project\, we developed a \ntraffic sign inventory process using QF
 ield mobile data collection app and studied its suitability for the task.\
 nThere was a pre-existing conceptual data model for the road signs from Tr
 aficom\, which was used as the basis for the \nphysical PostGIS database i
 mplementation. In addition\, the data collection workflow was designed to 
 make the \ndata collection as efficient as possible. This included configu
 ring the data input forms and the traffic sign visualizations in the  rela
 ted QGIS project file\, as well as other aspects of usability of the app\,
  such as further development of the geocoding functionality. \n\nThe proce
 ss was then tested out in the field and improved upon in cooperation with 
 employees from a few different-sized municipalities around Finland. The fi
 nished project report\, along with the files needed to set up the data col
 lection project are freely available in  the Github repository of the proj
 ect: https://github.com/finnishtransportagency/digiroad-QField
DTSTAMP:20260412T063528Z
LOCATION:Room 4
SUMMARY:Using QField to manage traffic sign inventory - Jaakko Lehto
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/JNECGN/
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