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Work package 6

Project components and their interpendencies

project_components

Framework UrbanSimE

urbansime

Software (Evolving UrbanSim)

  Leading institution:
It seems difficult if not impossible to make an urban simulation model such as UrbanSim more behaviour-oriented without having a microscopic model of how people (and ultimately goods) move in the city. In order to leverage existing work, including computational performance capabilities, we will use existing behaviour-oriented microscopic traffic models and integrate them with UrbanSimE. These models will not only provide a microscopic description of the traffic system, including (ultimately) pedestrian movement, bicycle traffic, and detailed public transit modelling, but also the behavioural modelling that is tightly coupled to the traffic system, such as the scheduling of activities in time and space, task allocation within households, or the consequences of the selection of certain mobility tools (e.g. car vs. "flat rate" public transport season ticket). That is, the long-term choices of residence, workplace, and education will be fed from UrbanSimE to the microscopic transport model, which will use them to construct daily plans adjusted to those long-term choices. The performance of those daily plans will then be fed back to UrbanSimE, which will use these results as a basis for its next round. TUB

More specifically, the objectives are:

  1. integrate two existing simulation packages MATSim (behavioural agents) and METROPOLIS (time-dependent car-traffic) into UrbanSimE:
    1. design of travel demand generators from UrbanSimE data targeted toward MATSIM and METROPOLIS;
    2. design of feedback accessibility indicators relevant to MATSIM and METROPOLIS including time-of-day performance of the transportation systems and compatible with micro-economic theory (logsum's);
  2. leverage capability to individually identify travellers both in MATSim and in UrbanSimE to provide "warm start" capability for runs of the transport model, dramatically reducing computing times (currently several hours per run of transport model);
  3. leverage microscopic analysis capability inside MATSim to provide better accessibility feedback to UrbanSimE.
  4. test the integration using the case study data
 

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© 2015 ETH Zurich | Imprint | Disclaimer | 23 March 2011
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