1. From EMME to DYNAMEQ in the city of MALMÖ

2. THE COMPANY Founded in early 2011 Currently located in Stockholm, Gothenburg and Malmö Small company (currently 4 employees) but with many years of experience AREAS OF BUSINESS Supply & demandmodelling and simulation from national strategic levels to separate intersections Traffic planning (Road, Public transport, Bicycle and pedestrians) Cost-Benefit analysis Implementation & developement of models for traffic analysis Analysis and studys regarding accessibilty, parking, emission etc. Evaluations of infrastructural investments MODELS (SELECTION) Emme Sampers/Samkalk Dynameq Vissim ArcGIS www.m4traffic.seJohannes.Ostlund@m4traffic.seAnders.Bernhardsson@m4traffic.se

3. BACKGROUND

4. City of Malmö -Founded the year 1250, became part of Sweden in 1658. -About 300 000 inhabitants -30 % of population represent 170 different countries. -University with 20 000 students. -Every day more than 70 000 people make the 30 minute trip between Malmö and Copenhagen using the Öresund bridge. -Part of the transnational region of Öresund with 3.5 million inhabitants -Expected increase of population with 33 % in the next 20 years City of Malmö -Founded the year 1250, became part of Sweden in 1658. -About 300 000 inhabitants -30 % of population represent 170 different countries. -University with 20 000 students. -Every day more than 70 000 people make the 30 minute trip between Malmö and Copenhagen using the Öresund bridge. -Part of the transnational region of Öresund with 3.5 million inhabitants -Expected increase of population with 33 % in the next 20 years BACKGROUND

5. EXAMPLES OF ONGOING PROJECTS IN THE MALMÖ AREA Interchange Spillepengen Developement area Northern Harbour Interchange Alnarp Developement area Western Harbour Developement area Limhamn Developement area Kalkbrottet Developement area Hyllie Malmö – Copenhagen Metro Interchange Flansbjer Interchange Arena Tram Developement area - Sorgenfri

6.  The city of Malmö is currently going through massive changes in its infrastructural design  New areas developed for living and working - the city prepares for a 33 % increase of population next 20 years  To meet the expected increase of travel, the city is planning different measures in the transport infrastructural design, such as tram, fastlanes for busses, better bike facilitys, motorway interchanges etc  Historically the city of Malmö have used static assignment models, such as Emme s a planning tool for different measures in the road infrastructure on a global level and microsimulation on a local level  Due to the expected increase of travel both within the city and commuting to- and from the growing region of Öresund the need of a planning tool with better possibilities to measure congestion has grown  Growing interest in what way different measures will affect route choices, queue lengths, travel times etc. both in shorter time horizons and in more strategic time horizons (20+ years) BACKGROUND

7. ROAD NETWORK OF THE EMME MODEL -1 595 Zones -14 000 Nodes -40 000 Links -1 900 Turn penalties -Includes Själland and Lolland/Falster in Denmark -Used by the Swedish Transport administration -Demand from the Sampers model.

8. -226 Zones -~1 000 Turn penalties -Demand from local implementation of the Sampers model EMME NETWORK IN MALMÖ – SUBAREA OF THE REGIONAL MODEL

9. TRANSIT NETWORK OF THE EMME MODEL National & Regional railways City public transport system CountryBusFerryFast trainS-trainMetroTrainExpressbus Denmark1698243 Helsinborg-Helsingör4 Sweden3401499690 Öresund bridge 1 16 City of Malmö66 Number of transitlines in network

10. EMME ArcGIS DYNAMEQ Group editing: Link facility types Free flow speeds Lanes (not intersections) Detailed editing: Transit lines Traffic signals Intersection design Network Base data: Links Centroids EMME  DYNAMEQ

11. DYNAMEQ Centroids258 Nodes1 702 Links4 321 Transit Lines66 Intersections1708 Signalized Intersections118

12. Demand SAMPERS/ EMME SAMPERS/ EMME Converter Demand Peak hours PM Peak hours AM 24-Hour EMME  DYNAMEQ Time Demand Time

13. Peak hours PM Peak hours AM 24-Hour Generalized cost = cost + 20 * Length DYNAMEQ DTA

14. DYNAMEQ Results

15. DYNAMEQ Results

16. DYNAMEQ 24 – hours DYNAMEQ EMME 19 000 v/d 21 000 v/d 17 000 v/d 20 000 v/d 18 000 v/d 19 000 v/d 16 000 v/d 15 000 v/d 22 000 v/d 23 000 v/d 21 000 v/d 20 000 v/d 19 000 v/d

17. EMME vs DYNAMEQ Network traveltimes during AM peak hour: Dynameq versus EMME OD-relations within the City of Malmö Ratio Dynameq/Emme

18. EMME Network traveltimes with and without the use of tpf in EMME OD-relations within the City of Malmö

19. EMME Route choice Without and With Tpf (uncalibrated demand from Sampers) No Tpf (185 counts) Tpf (185 counts) Y = -426+1.16x; R2 = 0.76 Y = 280+0.98x; R2 = 0.82

28. CONCLUSIONS  Network: ArcGIS powerful tool to edit large networks  Demand: Need for more detailed data (time + centroids)  DTA: Peak hours and 24-hours - different aims and challenges  EMME v.s. DYNAMEQ: significant differences in traveltimes  raises questions about the validity of demand modelling and cost- benefit analyses based on EMME in congested networks?  EMME: The use of tpf (not default in Sweden) affects route choice and traveltimes in a significant way From EMME to DYNAMEQ

29. THANK YOU