Cellular automaton simulations of hybrid pedestrian movement in two-route situation

Cheng-Jie Jin, Shuyi Fang, Rui Jiang, Kaiwen Xue and Dawei Li

Physica A: Statistical Mechanics and its Applications, 2024, vol. 651, issue C

Abstract: In this paper, we simulate the hybrid pedestrian movement considering both operational and tactical levels. The video data of our pedestrian route choice experiments are used for validations. Based on the CA model proposed by Nowak and Schadschneider, we build a new modeling framework and introduce six new parameters. Their values are determined by sensitivity analysis. To consider the influence of five statistical results in the simulations, including the velocities and densities of two routes, and the proportion of choosing the longer route, we propose a new metric named OPE (Overall Percentage Error). In order to reduce OPE, four models with different configurations are discussed and compared. We find that the use of shorter time step, modified SFF and the two-stage decision can help to improve the model performance. The simulation results in some other experimental run also shows the validity and universality of the model. In addition, we also compare the outputs of some typical pedestrian simulation software (e.g., AnyLogic), and we find our model has better results.

Keywords: Pedestrian flow; Hybrid model; Route choice; Cellular automaton (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:651:y:2024:i:c:s0378437124005387

DOI: 10.1016/j.physa.2024.130029

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