Evaluate the feasibility of implementing activitysim activity-based model for Vietnamese municipalities in term of the available input data sources

Activity-based modeling (ABM) has emerged as a promising approach in urban travel demand forecasting, addressing the limitations of traditional models that have dominated the field for over 50 years. ABM offers a powerful framework for simulating traffic at the city scale, enabling a deeper understanding of the complex behavior of urban transportation systems under various scenarios. This paper concisely overviews recent advancements and challenges associated with applying activity-based models in travel demand forecasting. Additionally, the article explores the operational process of the ActivitySIM model, a specific ABM tool for traffic demand forecasting, by detailing the required input data and parameters. The potential for deploying this technology in Ho Chi Minh City was analyzed to highlight relevant data sources. Furthermore, the paper discusses potential solutions to improve data accuracy and enhance the consistency of ABMs across multiple days of the week, addressing critical challenges in implementing these models effectively.