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cs.LG2026
A Bayesian Framework for Evaluating Scenario Compatibility in Generative Population Synthesis
Zhenlin Qin, Leizhen Wang, Yancheng Ling +1
Scenario-based transportation analysis specifies future assumptions through aggregate population targets, whereas generative population synthesis models produce detailed individual…
cs.LG2025
A Comprehensive Evaluation Framework for Synthetic Trip Data Generation in Public Transport
Yuanyuan Wu, Zhenlin Qin, Zhenliang Ma
Synthetic data offers a promising solution to the privacy and accessibility challenges of using smart card data in public transport research. Despite rapid progress in generative m…
cs.LG2025
Group Effect Enhanced Generative Adversarial Imitation Learning for Individual Travel Behavior Modeling under Incentives
Yuanyuan Wu, Zhenlin Qin, Leizhen Wang +2
Understanding and modeling individual travel behavior responses is crucial for urban mobility regulation and policy evaluation. The Markov decision process (MDP) provides a structu…