Anticipation in a velocity-based model for pedestrian dynamics. (December 2021)

• Record Type: Journal Article
• Authors: Xu, Qiancheng; Chraibi, Mohcine; Seyfried, Armin
• Is Part Of: Transportation research. Volume 133(2021)
• Publication Date: 2021-12
• Subjects: Anticipation -- Velocity-based model -- Pedestrian dynamics -- Bidirectional flow -- Lane formation; Transportation -- Periodicals; Transportation -- Technological innovations -- Periodicals; 388.011
• DOI: 10.1016/j.trc.2021.103464
• Languages: English
• ISSNs: 0968-090X

Abstract

Abstract: Lane formation in bidirectional pedestrian streams is based on a stimulus–response mechanism and strategies of navigation in a fast-changing environment. Although microscopic models that only guarantee volume exclusion can qualitatively reproduce this phenomenon, they are not sufficient for a quantitative description. To quantitatively describe this phenomenon, a minimal anticipatory collision-free velocity model is introduced. Compared to the original velocity model, the new model reduces the occurrence of gridlocks and reproduces the movement of pedestrians more realistically. For a quantitative description of the phenomenon, an order parameter is used to describe the formation of lanes at transient states and to show that the proposed model compares relatively well with experimental data. Furthermore, the model is validated by the experimental fundamental diagrams of bidirectional flows. Highlights: Introducing anticipation in a velocity-based model for pedestrian dynamics. Quantitatively describing lane formation in the bidirectional pedestrian stream. Analyzing the jamming transition and lane formation in bidirectional flow scenarios. Validation with experimental fundamental diagrams of uni- and bi-directional flows.