Abstract
This paper presents a novel approach for real-time and proactive navigation in crowded environments such as event spaces and urban areas where many people are moving to their destinations simultaneously. The proposed approach is based on people flow predictions. As for the method, we newly introduce a spatio-temporal statistical method and experimentally compare it with the existing methods based on a matrix factorization approach using real data sets. Then, the effectiveness of the proposed navigation approach is verified by computer simulation using artificial people-flow data.
