2017/05/09 by Yanqun Jiang, Bokui Chen, Jiang, Yan-Qun +7 · 1 citation
Engineering · #Applied Physics (physics.app-ph) #Evacuation and Crowd Dynamics #FOS: Physical sciences #Traffic and Road Safety #Traffic control and management
paper · pdf · doi:10.48550/arxiv.1705.03569
openalex publication_date 2017/05/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
An extended social force model with a dynamic navigation field is proposed to study bidirectional pedestrian movement. The dynamic navigation field is introduced to describe the desired direction of pedestrian motion resulting from the decision-making processes of pedestrians. The macroscopic fundamental diagrams obtained using the extended model are validated against camera-based observations. Numerical results show that this extended model can reproduce collective phenomena in pedestrian traffic, such as dynamic multilane flow and stable separate-lane flow. Pedestrians' path choice behavior significantly affects the probability of congestion and the number of self-organized lanes.