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URBAN PLANNINGTRANSPORT PLANNINGOPERATIONS

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Bus stop location should revised. Big event access management. Target: ... Future Trend: Hybrid Meso/Micro Simulation. Alternative Path. LARGE URBAN OR ... – PowerPoint PPT presentation

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Title: URBAN PLANNINGTRANSPORT PLANNINGOPERATIONS


1
An Integrated Approach for Traffic
Modeling Case Studies withAIMSUN
Alex Torday, Consulting Director TSS-Transport
Simulation Systems
2
INDEX
  • TSS Introduction
  • Software package
  • Integrated environment
  • Concrete applications
  • Real time forecasting
  • Future developments

3
TSS and Aimsun History
  • 18 years of RD including 20 national and
    EU-funded research programmes
  • 10 years of commercial history and 8 commercial
    releases
  • 100s of real-life projects
  • 1 development team

4
Aimsun Licences Worldwide
395 Organizations gt 927 Users
licences
5
The Aimsun 6 simulation environment
AIMSUN 6
AIMSUN LOGISTICS
AIMSUN ONLINE
AIMSUN MICRO
AIMSUN MESO
AIMSUN MACRO
AIMSUN PLATFORM (GIS based network edition)
6
The integrated approach
Which modelling approach is better?
When should a specific modelling approach be used?
7
Conceptual Architecture
Network data base
Paths and path flows data base
MACRO
Static assignment
MESO
Dynamic Assignment One shot or iterative
MICRO
OD Matrices
8
Paris Tramway implementation
  • Target
  • Feasibility of Tram pre-emption
  • Evaluate the capacity decrease of different
    implementation scenarios
  • Results
  • Axial option offers best results
  • Bus stop location should revised

9
Big event access management
  • Target
  • Pedestrian impact on traffic
  • Pedestrian bridge option assessment
  • Results
  • Impact judged too important
  • New crossing design to be examined

10
Pedestrian integration Aimsun Legion
Outputs and analysis in both Software packages
11
NGSIM project UC Berkley study
  • Objective
  • Testing their own lane selection model
  • Using the Aimsun SDK capabilities

The I-80 Site with the detector locations
12
Validation observed vs. simulated
13
Validation observed vs. simulated
14
HCM Outputs Level of Service
15
HCM Outputs Level of Service
16
Spanish freeway lane changing behaviour
17
Spanish freeway lane changing behaviour
Speed / Flow
lane use
Real
Simul.
18
New development area in Brisbane
  • Target
  • Assess impact of the development area traffic on
    down-town network
  • Expected intersections capacity decrease due to
    additional pedestrian flows
  • Results
  • Demonstrate to public authorities the project
    feasibility

19
The micro model
20
Micro Macro relation
Macro level
Micro level
21
Results
22
Results
23
Synchro import and export
24
Macroscopic Modelling
  • 3 main features
  • Traffic Assignment (Static User Equilibrium)
  • OD Matrix Adjustment
  • from link ,and turning, counts and flows
  • Traversal Generation (Cordoning)
  • window-in on a subnetwork for microsimulation
    study
  • Extract O/D matrix for gate to gate traversals

25
Real time forecasting
REACTION
ANTICIPATE
26
Needs
  • Network status forecasting and monitoring
  • Help control centers to take decisions and to
    inform
  • Basement for any ATIS and ATMS applications

27
Why traffic simulation?
  • Analytical approach limitations
  • Complexity of the networks
  • Unlimited combination of events
  • Plentiful of outputs to be used

28
The simulation role
REAL-TIME SIMULATION
OFF-LINE MODELING DATA
CURRENT AND FUTURE COMPLETE TRAFFIC DATA
ON-LINE LIMITED TRAFFIC DATA
29
Monitoring
CO2 Emission 43 g/h
  • Data source for any ATIS application
  • Information for ALL network links
  • Quality assessment tool (performance,
    environmental, )
  • Navigation Systems data supply

Traffic status Fluid
LOS E
Travel Time 87 sec
30
Emergency vehicle routing
ACCESS ROUTE A
ACCESS TRAVEL TIME
ACCESS ROUTE B
T
T 30 MIN
ACCIDENT
31
Real time traffic management
32
Forecasting quality
Traffic Detection Historical Data Base
AIMSUN ONLINE Simulations Data Base
Simulated Traffic Data
Real Traffic Data
Comparison
Quality Indicators
33
The Singapore case
SCATS adaptive control plans
4650 kilometres, 21131 secciones, 5580
intersecciones, 274'578 veh/h
34
The Madrid case
M-30
35
The Network
567 kilometres, 3259 secciones, 1224
intersecciones
36
Model validation
37
Safety strategy calle 30
38
Strategies evaluation
39
Operator view
40
Comparison example
41
Meso or Micro
OR
MESOSCOPIC
MICROSCOPIC
42
Future Trend Hybrid Meso/Micro Simulation
LARGE URBAN OR METROPOLITAN AREA ? Mesoscopic
Model
SUBAREA2 (Problem Network) ? Detailed Microscopic
Model
Micro
SUBAREA1 (Problem Network) ? Detailed Microscopic
Model
43
Thank you
  • Pg. de Gràcia 1208007 BarcelonaSPAINTel.
    (34) 933 171 693Fax. (34) 933 171 716mail
    info_at_aimsun.com
  • web www.aimsun.com
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