Yajuan Jiang | Searcharxiv

arXiv2025

Discrepancies in Pedestrian Crossing of Static vs. Dynamic Crowds: An Experimental Study

In this paper, we investigate disparities in pedestrian crossing behaviors within static and dynamic crowds through experimental analysis. First, qualitative trajectory observations revealed significant behavioral differences in static and dynamic contexts. To quantitatively assess these discrepancies, we introduced a density metric termed the swarm factor. In static contexts, limited variations in speed and swarm factor were observed, which may contribute to the formation of cross-channels, a phenomenon of pedestrian self-organization (tactical level). In contrast, speed and swarm factor exhibited inverse synchronization in dynamic contexts, indicating density-dependent behavioral adaptation (operational level). Finally, orthogonal velocity analysis demonstrated a fundamental pattern in crossing motions: as global density increased, both instantaneous velocity and crossing velocity decreased, while transverse velocity remained stable.

physics.soc-ph↗

arXiv2024

A cellular automata approach for modelling pedestrian-vehicle mixed traffic flow in urban city

In urban streets, the intrusion of pedestrians presents significant safety challenges. Modelling mixed pedestrian-vehicle traffic is complex due to the distinct motion characteristics and spatial dimensions of pedestrians and vehicles, making unified modelling difficult, with few studies addressing these issues. This paper employs a multi-grid cellular automata model to bridge the gap between vehicle and pedestrian models. An Improved Kerner-Klenov-Wolf (IKKW) model and a pedestrian motion model that incorporates Time-To-Collision (TTC) are introduced. Both models update the spatial motions of vehicles and pedestrians uniformly. Empirical analysis indicates that the model achieves high simulation accuracy. This model effectively illustrates the impact of pedestrian intrusion within mixed traffic scenario. The fundamental diagram of heterogeneous traffic reveals substantial differences, highlighting the effects of pedestrian intrusion on traffic flow states and identifying six phase regions in mixed traffic. Additionally, this paper examines conflicts between pedestrians and vehicles under varying speed limits and sidewalk widths, demonstrating that lower speeds and broader sidewalks significantly reduce the frequency of pedestrian-vehicle conflicts. Notably, the frequency of peak conflicts at a vehicle speed limit of 60.48 km/h is more than three times higher than at 30.24 km/h. This model offers a potential approach to studying mixed traffic flows and exhibits substantial scalability.

physics.soc-ph↗