An Overview of PCATS/DEBNetS Micro-simulation System: Its Development, Extension, and Application to Demand Forecasting

  • Ryuichi Kitamura
  • Akira Kikuchi
  • Satoshi Fujii
  • Toshiyuki Yamamoto
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 31)


The micro-simulator of individuals’ daily travel, PCATS, and a dynamic network simulator, DEBNetS, are integrated to form a simulation system for urban passenger travel. The components of the simulation system are briefly described, and three areas of on-going system improvement are described, i.e., (i) introduction of stochastic frontier models of prism vertex location, (ii) adoption of a fine grid system for quasi-continuous representation of space, and (iii) use of MCMC algorithms to handle colossal choice sets. Application case studies demonstrate that micro-simulation is a practical approach for demand forecasting and policy analysis, especially in the area of demand management.


Public Transit Markov Chain Monte Carlo Algorithm Travel Mode Terminal Vertex Stochastic Frontier Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • Ryuichi Kitamura
    • 1
    • 2
  • Akira Kikuchi
    • 1
  • Satoshi Fujii
    • 3
  • Toshiyuki Yamamoto
    • 4
  1. 1.Department of Urban ManagementKyoto UniversityKyotoJapan
  2. 2.Department of Civil and Environmental EngineeringUniversity of CaliforniaDavisUSA
  3. 3.Department of Civil EngineeringTokyo Institute of TechnologyJapan
  4. 4.Department of Geotechnical and Environmental EngineeringNagoya UniversityJapan

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