Validate - A Nationwide Dynamic Travel Demand Model for Germany Peter Vortisch, Volker Waßmuth, PTV AG, Germany
© PTV AG VALIDATE – A Transport Model for Germany > A nationwide model for Germany (82 million residents) > Hourly volumes on roads > Should use as many public (or commercial) digital data as possible > Should be easy to update > Applications > Regional and nationwide forecasts > Traffic volumes for the set up of billboards > Travel time estimation for navigation systems
© PTV AG > Representing Germany and the surrounding European countries > 1.4 million links > About traffic zones > 9 trip purposes > 21 person groups > auto and truck traffic > quasi-dynamic assignment (time-of-day volumes) VALIDATE at a glance
© PTV AG Road Network Processing > Initial German Navteq network consists of ca. 6 million links > Removing minor roads > Generalization: removing two-leg node > Automated, reversible and repeatable process > Mapping of Navteq attributes to assignment relevant attributes > Adding a reduced European network > Finally 1.4 million links
© PTV AG Traffic Zones > ca. 10,000 residents per zone > 5 to 12 connectors per zone > Finally 7,000 zones (refinement to 10,000 ongoing)
© PTV AG Land Use Data > National and regional population statistics > 85,000 market analysis zones > commercially available > Inhabitants > Employment by industry > Buying power > Additionally > schools, universities > special attractors (fun parks etc.)
© PTV AG Survey data German nationwide travel behavior surveys > MiD 2002 (“Mobility in Germany”) > 62,000 persons > 183,000 trips > SrV (2003) > 34,000 persons
© PTV AG No. of car trips for different purposes Home-Work18.1 million Home-Business6.5 million Home-Shopping12.0 million Home-Other20.5 million Work-Home13.1 million Business-Home8.9 million Shopping-Home13.9 million Other-Home21.7 million Other million Total: million > trip generation by the EVA-Model (Prof. Lohse, University of Dresden) > simultaneous destination and mode choice
© PTV AG Regional distribution of trips No of trips / km²
© PTV AG Road Traffic Assignment (24 h, static) RGap = after 12 h computing time
© PTV AG Calibration of the model > 2000 permanent counting points from BAST (Federal institute for roads) > additional survey points from different sources > % RMSE = 23%
© PTV AG Validation: Mean Trip distances
© PTV AG Time-of-Day Trip Demand
© PTV AG Time-of-day (quasi-dynamic) assignment ADT assignment peak hour (7 a.m. – 8 a.m.) > method similar to the Duration based static assignment presented by David Pickworth
© PTV AG Result: Time-of-day traffic volumes (video)
© PTV AG Validation: Comparision of volume time profiles (video sequence of 100 count locations)
© PTV AG Application: Traffic volumes in Germany 2020 ACATECH forecast 2020: > Mileage (private cars) + 20 % (+30% on highways) > Mileage (HGV) + 34% (+45% on highways) > Mileage (all vehicles) + 21% (+33% on highways) compared to 2002 increase decrease
© PTV AG Application: Impact Studies Example: Effect of Toll on the A4 (Eisenach)
© PTV AG Application: Accessibility depending on day and time Access Mon 10 a.m. green: < 1:00 h red: >3:00 h
© PTV AG Validate Network UK 11/2006 Directional Links Zones 8105 Connectors 29531
© PTV AG Thank you for your attention ! PTV Planung Transport Verkehr AG, Karlsruhe Contact infomation:
© PTV AG Additional data - Commuter trip tables > from the German Federal Employment Agency > ca x14000 cells
© PTV AG Trip Generation Model > EVA-model developed by Prof. Lohse, University of Dresden > simultaneous destination and mode choice for origin-destination groups
© PTV AG Deviation of counted and calculated daily volumes % RSME = 23 % (2000 count locations) RGAP = after 12 hours of computation
© PTV AG Outlook Applications: > GPS navigation (automotive and personal, on-board or off-board or hybrid) > Traffic information services > Route planning portals > Logistics and fleet management > Geomarketing > Urban, environmental and transportation planning Further Development: > Coverage of entire Europe > Extension to 365 days > Forecast for events
© PTV AG Need for hourly volumes on specific days hour day volume