| Abstract: |  This paper describes a framework for simulating movement of
people and vehicles in city. It describes proposed agent model, whole
environment, objects and entities including used data and interaction. One of
the main benefits is behavior model implemented using concept of agent
activities. Described is a generic model of activities and then specific agents
in the simulation. The second major contribution is in the multimodal planner
which plans the fastest path through city by foot and using public
transportation according to timetables. Described are various heuristics for
the planner and finally compared in the experiments. Also is described Google
Earth visualization that draws simulation objects directly to Google Earth.
|
|---|