Development of ECM-based microscopic pedestrian movement model

Abstract

Demands for the development of pedestrian models have increased during the recent years for use in urban planning and controlling of heavy pedestrian traffic within massive infrastructures. However, due to the difficulty of dealing with human behaviors that are related to psychology, there are few models including characteristics of human behaviors. In this paper, we first developed Expected Collision Map (ECM) for each pedestrian. Then, based on the ECM, we propose a microscopic pedestrian movement model that is composed of route choice model and modified social force model for avoiding collisions with other obstacles and pedestrians. The proposed model adopts multi-level approach including strategic, tactical and operational levels of the pedestrian movement procedure. The proposed model reflects the human perception and behavior process, and shows high potential for the development of more naturalistic pedestrian movement model.