05/2022: Guestprofessor G. Flötteröd - Public lecture: Persistent challenges in integrated behavior/network modeling
Strategic transport planning models that predict travel demand and behavior in consideration of a congested transport system have been used for many decades. Historically, these models are aggregate and continuum flow based, i.e. human behavior and vehicle propagation are abstracted into a limited number of representative flows.
The last decades have seen the convergence of network flow meso/microsimulations and activity-based travel demand models into “agent-based” model systems that simulate individual synthetic travelers. Greater realism may be expected from agent-based models, given their potentially higher level of detail. However, careful structural modeling is needed to leverage these capabilities.
The talk presents possible advantages of an agent-based approach and emphasizes accompanying modeling challenges.