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 [email protected] [email protected]
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