Proactive People-flow Navigation Based on Spatio-temporal Prediction

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. In this paper, a new spatio-temporal statistical method based on machine learning technique is presented for the people flow prediction. The effectiveness of the proposed navigation approach by using computer simulation data using artificial people-flow data.