2010/03/29 by Andrea Portz, Portz, Andrea, Armin Seyfried +1
Engineering · Social Sciences · #Evacuation and Crowd Dynamics #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Traffic control and management #Transportation Planning and Optimization
paper · pdf · doi:10.48550/arxiv.1003.5446
openalex publication_date 2010/03/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The main topic of this paper is the analysis and modeling of stop-and-go waves, observable in experiments of single lane movement with pedestrians. The velocity density relation using measurements on a 'microscopic' scale shows the coexistence of two phases at one density. These data are used to calibrate and verify a spatially continuous model. Several criteria are chosen that a model has to satisfy: firstly we investigated the fundamental diagram (velocity versus density) using different measurement methods. Furthermore the trajectories are compared to the occurrence of stop-and-go waves qualitatively. Finally we checked the distribution of the velocities at fixed density against the experimental one. The adaptive velocity model introduced satisfies these criteria well.