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Modelling very large Transport Systems

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Title: Modelling very large Transport Systems


1
Modelling very large Transport Systems
  • Joan Serras
  • Department of Design, Development, Environment
    and Materials
  • The Open University

2
Presentation outline
  • Introduction a Multilevel Representation on
    transport systems
  • The TRANSIMS modelling system and its modules
  • A simulation of Milton Keynes using TRANSIMS
  • Conclusions and further work

3
Introduction
  • The role of subsystems is essential on the
    behaviour of very large areas
  • Transport network models available which can
    address such areas (106 inhabitants)
  • These models represent the road network at one
    level
  • TRANSIMS is not an exception
  • A methodology has been implemented to generate a
    multilevel representation using a simulation of
    Milton Keynes with TRANSIMS

4
The TRANSIMS modelling system
  • Developed in Los Alamos during 1990s
  • Forecast the travel behaviour of a study area
    information on traffic impact, congestion and
    pollution
  • Relevant studies
  • First study (1997) metropolitan region within
    Dallas (200,000 travellers)
  • Portland Study (2002) 1.5 million travellers
  • Swiss study (2004) morning peak simulation (1
    million trips) 7.2 million inhabitants

5
The TRANSIMS modelling system
  • Microscopic approach travel demand estimated at
    the person level
  • synthetic population a virtual representation
    of all the individuals living in the study area
  • Activity-based demand rather than trip-based
  • Urban activity locations defined at the household
    level
  • Output of the person movement on a
    second-by-second basis (24h simulation)
  • Parallel computing

6
TRANSIMS core modules
7
A simulation of Milton Keynes using TRANSIMS
  • Purpose of the study
  • Can we get the data to build a multilevel
    representation from the TRANSIMS output?
  • Check its functionality in our system (cluster at
    the OU)
  • Can we adapt it to simulate a non-US city?
    (synthetic population generation constraints)
  • Significant output?
  • Constraints
  • Prime use of the software in UK
  • lack of time (PhD period)
  • Lack of resources only me!
  • Due to constraints many assumptions were done

8
A simulation of Milton Keynes using TRANSIMS
  • Facts about Milton Keynes population (Census
    2001)
  • Population 200,000 inhabitants (urban area
    170,000 inhabitants)
  • Commuters (60,000 commuters)
  • 22,000 people commuting outside Milton Keynes
    (mainly to London area)
  • 39,000 people commute to Milton Keynes
  • The Milton Keynes road network
  • A road grid (10 horizontal x 11 vertical
    roads)
  • 1km2 each grid for easy access between them
  • 300 roundabouts
  • GIS representation 2630 nodes and 3457 links

9
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10
A simulation of Milton Keynes using TRANSIMS
  • Milton Keynes network
  • From NTFS format to TRANSIMS format
  • No traffic lights, no public transport
  • The synthetic population (Census 2001)
  • US Census incompatibility new method implemented
  • Household structure (150,000 inhabitants)
  • Commuters (26,000 to MK 13,000 out of MK)
  • Activity Generation
  • survey from Balcksburg, VA (lack of time not
    that different work, shop, visit activity types
    kept)
  • Feedback
  • 50 iterations between Router and Microsimulator

11
A simulation of Milton Keynes using TRANSIMS
  • Clips on the Milton Keynes model can be seen in
    the following website
  • http//design.open.ac.uk/serras/miltonKeynes_simCl
    ips.htm

12
Conclusions and further work
  • A simulation of Milton Keynes using TRANSIMS has
    been produced at the OU
  • Fairly good results have been produced
  • Significant margin for improvement
  • Currently working on improving the model
  • Data has already been used on a two-level
    representation
  • More levels need to be defined in order to infer
    relevant conclusions
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