The fundamental Diagram of Pedestrian Model with Slow Reaction
Jun Fang, Zheng Qin, Hao Hu, Zhaohui Xu, Huan Li

TL;DR
This paper introduces a slow reaction lattice gas model for pedestrian dynamics, capturing delayed reactions and reproducing experimental phenomena more accurately than standard models.
Contribution
The paper proposes a novel slow reaction model for pedestrian flow that incorporates delayed reactions, validated against empirical data and outperforming standard models.
Findings
SR model fits empirical velocity data best at p_s=0.3
SR model reproduces stop-and-go waves and phase separation
Distribution of individual velocities aligns better with empirical data
Abstract
The slow-to-start models are a classical cellular automata model in simulating vehicle traffic. However, to our knowledge, the slow-to-start effect has not considered in modeling pedestrian dynamic. We verify the similar behavior between pedestrian and vehicle, and propose an new lattice gas (LG) model called the slow reaction (SR) model to describe the pedestrian's delayed reaction in single-file movement. We simulate and reproduce the Seyfried's field experiments at the research centre Julich, and use its empirical data to validate our SR model. We compare the SR model with the standard LG model. We test different probability of slow reaction ps in SR model and found the simulation data of ps=0.3 fit the empirical data best. The RMS error of mean velocity of SR model is smaller than that of standard LG model. In the range of ps=0.1~0.3, our fundamental diagram between velocity and…
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