Accounting for intra-household joint travel in agent-based transport simulations
Updated
Updated · arxiv.org · Aug 19
Accounting for intra-household joint travel in agent-based transport simulations
1 articles · Updated · arxiv.org · Aug 19
Summary
Researchers have developed a new methodology to account for intra-household joint travel in agent-based transport simulations.
The approach uses machine learning and statistical models to identify joint tours, estimate mode choices, and assign driver or passenger roles within households.
This framework enables more accurate policy evaluation for measures like HOV lanes or family transit discounts, addressing a previously overlooked aspect of travel modeling.