Modeling and simulation of L-shaped merging behavior incorporating behavioral characteristic lines

• Individual differences and behavioral lines in l -shaped merging were identified. • An individual-oriented l -shaped model was developed for merging behaviors. • The model replicates realistic spatial and temporal features of merging behaviors. • Moderate pedestrian yielding improves traffic efficiency while other levels do not. • Larger turning areas enhance merging efficiency. Merging behavior is a common phenomenon in real-life environments that may lead to congestion and even stampedes. In this study, we examined merging behavior in l -shaped corridors and identified phenomena such as behavioral characteristic lines and turning urgency. These findings were incorporated to develop a model for l -shaped merging behavior. Comparisons between real and simulated behaviors show that the model successfully replicates both the spatial and temporal characteristics of the turning and merging processes, validating its applicability. Further analysis of various pedestrian and spatial factors affecting l -shaped merging behavior and traffic efficiency via the model reveals that (1) moderate yielding by pedestrians in the main corridor increases traffic efficiency, while no yielding or excessive yielding reduces efficiency; (2) increasing the desired velocity increases efficiency; however, the benefits diminish beyond velocities of 2.0 m/s; (3) interpersonal distances in both corridors influence the overall traffic efficiency, and maintaining pedestrian spacing at or below 2.0 m is recommended; and (4) larger turning areas increase merging efficiency, indicating that small-scale optimization of key local spaces can significantly increase efficiency. These insights are valuable for managing pedestrian behavior and designing l -shaped corridors.

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Publication Details

Journal
Simulation Modelling Practice and Theory
Published
2025-05-30
DOI
https://doi.org/10.1016/j.simpat.2025.103150
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling and simulation of L-shaped merging behavior incorporating behavioral characteristic lines

Haonan Ma, Wenhang Li, Yi Li, Ping Yu et al.
Simulation Modelling Practice and Theory
Evacuation and Crowd Dynamics
article

Modeling and simulation of L-shaped merging behavior incorporating behavioral characteristic lines

Haonan Ma, Wenhang Li, Yi Li, Ping Yu, Jianhua Gong
article en

Abstract

• Individual differences and behavioral lines in l -shaped merging were identified. • An individual-oriented l -shaped model was developed for merging behaviors. • The model replicates realistic spatial and temporal features of merging behaviors. • Moderate pedestrian yielding improves traffic efficiency while other levels do not. • Larger turning areas enhance merging efficiency. Merging behavior is a common phenomenon in real-life environments that may lead to congestion and even stampedes. In this study, we examined merging behavior in l -shaped corridors and identified phenomena such as behavioral characteristic lines and turning urgency. These findings were incorporated to develop a model for l -shaped merging behavior. Comparisons between real and simulated behaviors show that the model successfully replicates both the spatial and temporal characteristics of the turning and merging processes, validating its applicability. Further analysis of various pedestrian and spatial factors affecting l -shaped merging behavior and traffic efficiency via the model reveals that (1) moderate yielding by pedestrians in the main corridor increases traffic efficiency, while no yielding or excessive yielding reduces efficiency; (2) increasing the desired velocity increases efficiency; however, the benefits diminish beyond velocities of 2.0 m/s; (3) interpersonal distances in both corridors influence the overall traffic efficiency, and maintaining pedestrian spacing at or below 2.0 m is recommended; and (4) larger turning areas increase merging efficiency, indicating that small-scale optimization of key local spaces can significantly increase efficiency. These insights are valuable for managing pedestrian behavior and designing l -shaped corridors.

Simulation Modelling Practice and TheoryVol. 143
Chinese Academy of Sciences (CN), Jiangsu Agri-animal Husbandry Vocational College (CN), Henan Institute of Technology (CN), Aerospace Information Research Institute (CN), University of Chinese Academy of Sciences (CN), Xinxiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 85%
Evacuation and Crowd Dynamics
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