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

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

DOI: 10.1023/A:1005259324588

关键词: Mathematical modelData miningMonte Carlo methodComputer simulationJourney to workEconometricsDemand forecastingMicrosimulationComputer scienceSource codeTravel behavior

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

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