GATSim: Generative-Agent Transport Simulation
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Updated
Jul 30, 2026 - Jupyter Notebook
GATSim: Generative-Agent Transport Simulation
Analyze the 2006-2010 five-year Census Transportation Planning Package using R and MonetDBLite
Platform for Integrated Landuse and Transportation Experiments and Simulations
Household travel decision simulation via persona-enriched multi-agent negotiation (PEMAND)
Travel Behavior Inventory analysis and interactive visualization
In this project, we are trying to understand the travel behavior of people. Specifically, we are interested in the causal mechanism of how people choose a particular mode over other available modes. Ultimately, we learned which variables are causally related to each other by employing causal structure learning techniques.
Predicting trip purpose from household travel survey, transit card trip chains and POI context (XGBoost/LightGBM)
Public project hub for transportation equity research on accessibility, travel needs, barriers, and lived experience.
Mella Lira, B., Paez, A. (2021) Do drivers dream of walking? An investigation of travel mode dissonance from the perspective of affective values, Journal of Transport and Health, 20:101015
To associate your repository with the travel-behavior topic, visit your repo's landing page and select "manage topics."