From EMME to DYNAMEQ in the city of MALMÖ

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.se Johannes.Ostlund@m4traffic.se Anders.Bernhardsson@m4traffic.se

BACKGROUND

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

EXAMPLES OF ONGOING PROJECTS IN THE MALMÖ AREA

Interchange Spillepengen

Developement area Northern Harbour

Interchange Alnarp

Developement areaWestern Harbour

Developement areaLimhamn

Developement areaKalkbrottet

Developement areaHyllie

Malmö – Copenhagen Metro

Interchange Flansbjer

Interchange Arena

Tram

Tram

Developement area - Sorgenfri

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

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.

- 226 Zones- ~1 000 Turn penalties- Demand from local implementation of the

Sampers model

EMME NETWORK IN MALMÖ – SUBAREA OF THE REGIONAL MODEL

TRANSIT NETWORK OF THE EMME MODEL

National & Regional railways

City public transport system

Country Bus Ferry Fast train S-train Metro Train ExpressbusDenmark 169 8 2 43Helsinborg-Helsingör 4Sweden 340 14 9 96 90Öresund bridge 1 16 City of Malmö 66

Number of transitlines in network

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

DYNAMEQ

Centroids 258

Nodes 1 702

Links 4 321

Transit Lines 66

Intersections 1708

Signalized Intersections 118

Demand

SAMPERS/EMME Converter

Demand

Peak hours PM

Peak hours AM

24-Hour

EMME DYNAMEQ

Time

Demand

Time

Peak hours PM

Peak hours AM 24-Hour

Generalized cost = cost + 20 * Length

DYNAMEQ

DTA

DYNAMEQ

Results

Till Från Till Från Till Från Till FrånLimhamn Burlöv Oxie Mobilia

0

5

10

15

20

25

30

35

Travel times

Min

utes

0

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

4,500

Delays PM

Hour

s

DYNAMEQ

Results

DYNAMEQ

24 – hours DYNAMEQ EMME

19 000 v/d21 000 v/d

17 000 v/d20 000 v/d

18 000 v/d18 000 v/d19 000 v/d

19 000 v/d

16 000 v/d16 000 v/d

16 000 v/d15 000 v/d

22 000 v/d22 000 v/d

23 000 v/d21 000 v/d

20 000 v/d19 000 v/d

EMME vs DYNAMEQ

Network traveltimes during AM peak hour: Dynameq versus EMME

OD-relations within the City of Malmö

0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 30

1000

2000

3000

4000

5000

6000

7000

8000

Ratio Dynameq/Emme

1 1.05 1.1 1.15 1.2 1.25 1.3 1.35 1.4 1.45 1.5 1.55 1.6 1.65 1.7 1.75 1.8 1.850

2000

4000

6000

8000

10000

12000

14000

Ratio with/without tpf

Frequency

EMME

Network traveltimes with and without the use of tpf in EMME

OD-relations within the City of Malmö

EMMERoute 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

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

THANK YOU