A deep generative model that synthesizes household-coordinated daily activity patterns, embedded in a full traffic simulation pipeline, reproduces Los Angeles travel demand at aggregate levels comparable to a legacy activity-based model.
Mobility ai agents and networks,
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Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination
A deep generative model that synthesizes household-coordinated daily activity patterns, embedded in a full traffic simulation pipeline, reproduces Los Angeles travel demand at aggregate levels comparable to a legacy activity-based model.