Ren-Yong Guo

TL;DR: In this paper, the authors investigated the route choice of pedestrians during evacuation under conditions of both good and zero visibility using a group of experiments conducted in a classroom, and a microscopic pedestrian model with discrete space representation.

TL;DR: The method can be used to predict the evolution of pedestrian flow over time and space in indoor areas with internal obstacles and to investigate the collection, spillback, and dissipation behavior of pedestrians passing through a bottleneck.

TL;DR: In this paper, a general dynamical system model with link-based variables is formulated to characterize the processes of achieving equilibria from a non-equilibrium state in traffic networks.

TL;DR: Simulation results indicate that the proposed method can simulate two classes of phenomena that cannot be reproduced accurately by existing methods, and illustrate that, for improving the efficiency of evacuation, excessive or limited sensitivity of pedestrians to the route capacity may be unhelpful, and adding an extra route may be inefficient.

TL;DR: In this article, a discrete rational adjustment process (DRAP) model is proposed to characterize the process of achieving equilibrium from a non-equilibrium state in traffic networks, where the equilibrium state can be in either a deterministic or a stochastic user equilibrium state.