The traditional trip-based approach to transportation modeling has been used for the past 30
years. Because of limitations of traditional planning for short-term policy analysis …

We describe a framework for running large-scale multi-agent simulations of travel behaviour.
The framework represents each traveller as an individual 'agent'that makes independent …

We present a framework for near real-time forecast of influenza epidemics using a
simulation optimization approach. The method combines an individual-based model and a …

Several activity-based transportation models are now becoming operational and are
entering the stage of application for the modelling of travel demand. Some of these models …

BACKGROUND: We aim to determine the economic and social impact of typical
interventions proposed by the public health officials and preventive behavioral changes …

The goal of the study reported in this paper was to develop a comprehensive activity-based
modeling system in the context of developing countries, providing accurate estimates which …

The need to model trip chaining has been discussed widely in the travel demand literature,
but new approaches generally have been limited to academic research. Trip chaining was …

The paper presents a modeling framework for dynamic activity scheduling. The modeling
framework considers random utility maximization (RUM) assumption for its components in …

This article reports on the calibration and analysis of a fully disaggregate (agent-based)
transport simulation for the metropolitan area of Zurich. The agent-based simulation goes …

The modeling of travel decision making has been a popular topic in transportation planning.
Previous studies focused on random-utility discrete choice models and machine learning …