  Modeling and simulation of pedestrian behavior is used in applications such
as planning large buildings, disaster management, or urban planning.
Realistically simulating pedestrian behavior is challenging, due to the
complexity of individual behavior as well as the complexity of interactions of
pedestrians with each other and with the environment. This work-in-progress
paper addresses the tactical (path planning) and the operational level
(movement control) of pedestrian simulation from the perspective of
multiagent-based modeling. We propose (1) an novel extension of the JPS routing
algorithm for tactical planning, and (2) an architecture how path planning can
be integrated with a social-force based movement control. The architecture is
inspired by layered architectures for robot planning and control. We validate
correctness and efficiency of our approach through simulation runs.
