Platzhalter für Bild, Bild auf Titelfolie hinter das Logo einsetzenProf. Dr.-Ing. Marc-O. Löwner, 29. April 2013Grenzübers...
Our daily hazard on the streets 2.361.457 accidents on Germanstreets in 2011 306.266 accidents causingpersonal injury 4...
Accidents caused by influence of weather (in total)bad weathercrosswinddazzling sunhail or snow stormfog[No.ofpersons]Stat...
Accidents by influence of weather (killed persons)bad Weathercrosswinddazzling sunhail or snow stormfog[No.ofpersons]Stati...
 dazzling by low sun conditions is a dangerto private transportation today, no warning service is available,either by pu...
Risik assesment of dazzling by low sun conditions main target: Modelling of dazzling effects on the highways of Lower Sa...
Street information from OpenStreetMap started 2004 Volunteered Geographic Information user-generated Content non-profe...
position of the sun angle and azimuth of the sun (AstAlm 2006;Meeus 2000) for every 15 minutes 26.200 pairs of angles fo...
vehicle model three main danger classes dazzling from forward view dazzling from forward view in spite of puton solar s...
data infrastructureOSM Data PostgreSQLosm2pgsqlJavaangle ofthe sunRisk assesmentJavavisualizationArcObjectsresultpgsql2sha...
results 733.600.000 evaluations of singlegeometries 403 km (43 %) of highways areaffected in Lower Saxony Highway inter...
can we go any further? Advises from ACE Auto Club Europa e.V. put on solar sreen approach crossings slowly use trafic ...
Architecture of a solar risk servicestartendPSnPZntnt1PS1PZ1route (http)Solar RiskServicesplit geometrytime stamp City-DBp...
Automotive risk serviceStartZielPSnPZntnt1PS1PZ1route (http)Solar RiskServicesplit geometrytime stamp City-DBposition of t...
Further requirements semantical enriched 3D-city models: CityGML geometries for line of sight analysis (CityGML’s LoD 2 ...
Thank you for your attention !29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 16
Nächste SlideShare
Wird geladen in …5
×

GI2013 ppt löwner_20130429_geodata_forprivatetransportation_final_print

746 Aufrufe

Veröffentlicht am

GI2013-GI/GIS/GDI-Interoperability-Forum, Dresden: 29./30.04.2013

Veröffentlicht in: Technologie, Reisen
0 Kommentare
0 Gefällt mir
Statistik
Notizen
  • Als Erste(r) kommentieren

  • Gehören Sie zu den Ersten, denen das gefällt!

Keine Downloads
Aufrufe
Aufrufe insgesamt
746
Auf SlideShare
0
Aus Einbettungen
0
Anzahl an Einbettungen
1
Aktionen
Geteilt
0
Downloads
1
Kommentare
0
Gefällt mir
0
Einbettungen 0
Keine Einbettungen

Keine Notizen für die Folie

GI2013 ppt löwner_20130429_geodata_forprivatetransportation_final_print

  1. 1. Platzhalter für Bild, Bild auf Titelfolie hinter das Logo einsetzenProf. Dr.-Ing. Marc-O. Löwner, 29. April 2013Grenzüberschreitendes 13. Sächsische GI/GIS/GDI-Forum am 29.-30. April in DresdenGeo data for private transportation questions
  2. 2. Our daily hazard on the streets 2.361.457 accidents on Germanstreets in 2011 306.266 accidents causingpersonal injury 4.722 fatal accidentsDamages to persons in 2011 [%]killed badly injuredslightlyinjuredbuild up areas out-of-town highwayStatistisches Bundesamt 201229.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 2
  3. 3. Accidents caused by influence of weather (in total)bad weathercrosswinddazzling sunhail or snow stormfog[No.ofpersons]Statistisches Bundesamt 20121.54% of all accidents29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 3
  4. 4. Accidents by influence of weather (killed persons)bad Weathercrosswinddazzling sunhail or snow stormfog[No.ofpersons]Statistisches Bundesamt 20122.16% of all accidents29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 4
  5. 5.  dazzling by low sun conditions is a dangerto private transportation today, no warning service is available,either by public authorities or privatenavigation system providers Risk assessment of dazzling ispossible for transport infrastructurenetworks ! Small application project supported by theVerein zur Förderung der Geoinformatik inNorddeutschlang GiN e.V.„Massenkarambolage von 259 Autos aufder A2Bei einer Massenkarambolage auf derAutobahn A2 in Niedersachsen wurdenmehr als 60 Menschen verletzt, zehn davonerlitten schwere Verletzungen. Nachheftigen Regenfällen verloren im BereichPeine mehrere Fahrer die Kontrolle überihre Autos. Der Sachschaden soll in dieMillionenhöhe gehen. […]Ein Grund für die Vielzahl der Beteiligtenwar nach erster Einschätzung der Polizeiauch, dass viele Fahrer bei dem schlechtenWetter zu schnell unterwegs waren und zuwenig Abstand zum Vordermann hielten.Die tiefstehende Sonne behinderte die Sichterheblich, sagte ein Sprecher derBraunschweiger Autobahnpolizei. […]“20.7.2009www.welt.de29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 5Risik assesment of dazzling by low sun conditions
  6. 6. Risik assesment of dazzling by low sun conditions main target: Modelling of dazzling effects on the highways of Lower Saxony for one year with hightemporal resolution model components street data position of the sun in a high temporal resolution vehicle model result Movie of street segments under risk not considered digital terrain model surrounding infrastructure weather effects (reflection from the lane)29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 6
  7. 7. Street information from OpenStreetMap started 2004 Volunteered Geographic Information user-generated Content non-professionals may add coordinates,objects and attributes. They also maychange existing ones. pPublished under ShareAlike 2.0 Generic(CC BY-SA 2.0) users are allowed to use and share data,even for commercial purposesZimmermann & Löwner (2012)29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 7
  8. 8. position of the sun angle and azimuth of the sun (AstAlm 2006;Meeus 2000) for every 15 minutes 26.200 pairs of angles for one geometryhNVertikalwinkelHorizontalwinkel0103 9:45 143.871086524855 7.59606940320430103 10:00 147.105451090724 8.882089639315120103 10:15 150.393674576367 10.06267321824940103 10:30 153.734117939271 11.13068015872730103 10:45 157.124065211231 12.07982616420640103 11:00 160.559715910859 12.90452019562660103 11:15 164.036211005061 13.599834095786529.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 8
  9. 9. vehicle model three main danger classes dazzling from forward view dazzling from forward view in spite of puton solar screen dazzling from behind29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 9
  10. 10. data infrastructureOSM Data PostgreSQLosm2pgsqlJavaangle ofthe sunRisk assesmentJavavisualizationArcObjectsresultpgsql2shapeSQLsplitpolylinesorientation ofstreet segmentsSQL29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 10
  11. 11. results 733.600.000 evaluations of singlegeometries 403 km (43 %) of highways areaffected in Lower Saxony Highway interchange Osnabrück forward view: 171 h/a (75 h/a) forward view in spite of put on solarscreen: 133 h/a (28 h/a) from behind: 63 h/a (44 h)29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 11
  12. 12. can we go any further? Advises from ACE Auto Club Europa e.V. put on solar sreen approach crossings slowly use trafic lights not expossed to direct sun use sun glasses clean front window keep savety distance29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 12
  13. 13. Architecture of a solar risk servicestartendPSnPZntnt1PS1PZ1route (http)Solar RiskServicesplit geometrytime stamp City-DBposition of the sunevaluate geometrydeliver evaluated routesynchronizeCityGMLX3DKML29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 13
  14. 14. Automotive risk serviceStartZielPSnPZntnt1PS1PZ1route (http)Solar RiskServicesplit geometrytime stamp City-DBposition of the sunevaluate geometrydeliver evaluated routesynchronizeCityGMLX3DKMLfield of vision field of visionbuildingAutomotive riskservice29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 14
  15. 15. Further requirements semantical enriched 3D-city models: CityGML geometries for line of sight analysis (CityGML’s LoD 2 Building model would be best) semantical information on function and usage of buildings (attributes are partly availablein the Building class) fusion of infrastructure information (geo data) and vehicle sensors used in AdvancedDriver Assistant Systems (ADAS) precise position interaction with driver communication infrastructure29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 15
  16. 16. Thank you for your attention !29.04.2013 | Marc-O. Löwner | Geo data for private transportation questions | Seite 16

×