Micro-simulation of daily activity-travel patterns for travel demand forecasting

Ryuichi Kitamura, Cynthia Chen, Ram M. Pendyala, Ravi Narayanan

Research output: Contribution to journalArticlepeer-review

163 Scopus citations


The development and initial validation results of a micro-simulator for the generation of daily activity-travel patterns are presented in this paper. The simulator assumes a sequential history and time-of-day dependent structure. Its components are developed based on a decomposition of a daily activity-travel pattern into components to which certain aspects of observed activity-travel behavior correspond, thus establishing a link between mathematical models and observational data. Each of the model components is relatively simple and is estimated using commonly adopted estimation methods and existing data sets. A computer code has been developed and daily travel patterns have been generated by Monte Carlo simulation. Study results show that individuals' daily travel patterns can be synthesized in a practical manner by micro-simulation. Results of validation analyses suggest that properly representing rigidities in daily schedules is important in simulating daily travel patterns.

Original languageEnglish (US)
Pages (from-to)25-51
Number of pages27
Issue number1
StatePublished - 2000
Externally publishedYes


  • Daily activity-travel patterns
  • Forecasting
  • Micro-simulation
  • Synthetic travel patterns

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Development
  • Transportation


Dive into the research topics of 'Micro-simulation of daily activity-travel patterns for travel demand forecasting'. Together they form a unique fingerprint.

Cite this