MobiCrowd: simulating crowds with periodic and social mobility

In this paper we develop a novel crowd simulation framework, MobiCrowd, which aims to generate agent-based collective flocking behaviors with periodic and social mobility. The underlying scenario is that the behaviors of people an urban area are governed by two fundamental factors: (a) spatial-temporal daily routines: stay/sleep at home, work in offices, and move between homes and offices, and (b) social interaction: those acquainted with each other might move together. MobiCrowd is proposed to simulate and produce the real-world phenomenon of human movements, and provide a platform to study urban dynamics and could be used in online games and animation industry.