Crowd Simulation Incorporating a Route Choice Model and Similarity Evaluation using Real Large-scale Data

Ryo Nishida (National Institute of Advanced Industrial Science and Technology), Masaki Onishi (National Institute of Advanced Industrial Science and Technology), Koichi Hashimoto (Tohoku University)

Abstract

Existing literature on crowd modeling focuses on only the decisionmaking of walking behavior. To construct more practical simulations, we generalize and propose a crowd simulation framework that includes actual crowd movement measurements, route choice model estimation, and crowd simulator construction. In experiments, we measure crowd movements during a firework event where tens of thousands of people moved and prove that the crowd simulation incorporating the route choice model can reproduce the real large-scale crowd movement more accurately.