51 citations · 97 across the 4 of their papers we have counts for
4 papers
Hybrid Machine Learning and Physics-based Modelling of Pedestrian Pushing Behaviours at Bottlenecks
Qiancheng Xu, Ezel Üsten, Ahmed Alia +3
In high-density crowds, close proximity between pedestrians makes the steady state highly vulnerable to disruption by pushing behaviours, potentially leading to serious accidents.…
Anticipation in a velocity-based model for pedestrian dynamics
Qiancheng Xu, Mohcine Chraibi, Armin Seyfried
Lane formation in bidirectional pedestrian streams is based on a stimulus-response mechanism and strategies of navigation in a fast-changing environment. Although microscopic model…
Prolonged Clogs in Bottleneck Simulations for Pedestrian Dynamics
Qiancheng Xu, Mohcine Chraibi, Armin Seyfried
This article studies clogging phenomena using a velocity-based model for pedestrian dynamics. First, a method to identify prolonged clogs in simulations was introduced. Then bottle…
Generalized collision-free velocity model for pedestrian dynamics
Qiancheng Xu, Mohcine Chraibi, Antoine Tordeux +1
The collision-free velocity model is a microscopic pedestrian model, which despite its simplicity, reproduces fairly well several self-organization phenomena in pedestrian dynamics…