In terms of travelers and trips, a simulation of all of Switzerland, with more than 10 million trips, is comparable to a simulation of a large metropolitan area, such as London or Los Angeles. It is also comparable in size to a molecular dynamics simulation, except that travelers have considerably more ``internal intelligence'' than molecules, leading to complicated rule-based instead of relatively simple equation-based code. Such multi-agent simulations do not run well on traditional vectorizing supercomputers (e.g. Cray) but run well on distributed workstations, meaning that the computing capabilities for such simulations have virtually exploded over the last decade.
This paper describes the status of ongoing work of an implementation of all of Switzerland in such a simulation. The whole simulation package consists of many modules, including the micro-simulation itself, the route planner, and the feedback supervisor which models day-to-day learning. A single destination scenario is used to verify the plausibility of the replanning set-up. A preliminary result of a simulation of all of Switzerland is shown, including comparisons to field data from automatic counting stations. Although considerable progress has been made, much work is still to be done.