Experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flow
The mechanisms of collision avoidance (CA) behaviours in interweaving pedestrian flow movements are important for pedestrian space planning and emergency management but not well understood yet. In this paper, a series of controlled interweaving pedestrian flow experiments with different densities ar...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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The Royal Society
2022-07-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.220187 |
| _version_ | 1797840251333378048 |
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| author | Qiu Yun Luan Shao Bo Liu Zhi Jian Fu Jie Yin Lyu |
| author_facet | Qiu Yun Luan Shao Bo Liu Zhi Jian Fu Jie Yin Lyu |
| author_sort | Qiu Yun Luan |
| collection | DOAJ |
| description | The mechanisms of collision avoidance (CA) behaviours in interweaving pedestrian flow movements are important for pedestrian space planning and emergency management but not well understood yet. In this paper, a series of controlled interweaving pedestrian flow experiments with different densities are carried out to investigate the CA behaviours, especially CA strategy choices. Four types of CA strategies are manually identified in these experiments. Nine characteristic parameters based on the trajectory data are defined to explore the characteristics of CA behaviours. The experimental results reveal that (i) the CA behaviours change with density levels; (ii) heterogeneities can be found for individual pedestrians; (iii) the defined characteristic parameters show different statistical features for different types of CA strategies, and correlations exist between most of the parameter pairs; (iv) it usually takes 0.5–2.5 s to complete a CA process with a trajectory length of 0.5–3.5 m. A multi-nomial logit (MNL) model and a long-short-term-memory (LSTM) model are established respectively for predicting pedestrians' choices of CA strategies using the selected characteristic parameters as inputs. The modelling results prove the importance of using time-series data for pedestrian behaviour modelling, and the LSTM models show advantages over the MNL model at this point. |
| first_indexed | 2024-04-09T16:11:53Z |
| format | Article |
| id | doaj.art-067e36e26e32456092ae13aebb69cc3d |
| institution | Directory Open Access Journal |
| issn | 2054-5703 |
| language | English |
| last_indexed | 2024-04-09T16:11:53Z |
| publishDate | 2022-07-01 |
| publisher | The Royal Society |
| record_format | Article |
| series | Royal Society Open Science |
| spelling | doaj.art-067e36e26e32456092ae13aebb69cc3d2023-04-24T09:20:17ZengThe Royal SocietyRoyal Society Open Science2054-57032022-07-019710.1098/rsos.220187Experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flowQiu Yun Luan0Shao Bo Liu1Zhi Jian Fu2Jie Yin Lyu3Intelligent Transportation Systems Research Center, Wuhan University of Technology, 1178 Heping Avenue, Wuhan Hubei 430063, People's Republic of ChinaIntelligent Transportation Systems Research Center, Wuhan University of Technology, 1178 Heping Avenue, Wuhan Hubei 430063, People's Republic of ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, High-Tech Zone West Park, Chengdu Sichuan 610031, People's Republic of ChinaCIMC Intelligent Technology Co. Ltd, High-tech South Seven Road, Shenzhen 518057, People's Republic of ChinaThe mechanisms of collision avoidance (CA) behaviours in interweaving pedestrian flow movements are important for pedestrian space planning and emergency management but not well understood yet. In this paper, a series of controlled interweaving pedestrian flow experiments with different densities are carried out to investigate the CA behaviours, especially CA strategy choices. Four types of CA strategies are manually identified in these experiments. Nine characteristic parameters based on the trajectory data are defined to explore the characteristics of CA behaviours. The experimental results reveal that (i) the CA behaviours change with density levels; (ii) heterogeneities can be found for individual pedestrians; (iii) the defined characteristic parameters show different statistical features for different types of CA strategies, and correlations exist between most of the parameter pairs; (iv) it usually takes 0.5–2.5 s to complete a CA process with a trajectory length of 0.5–3.5 m. A multi-nomial logit (MNL) model and a long-short-term-memory (LSTM) model are established respectively for predicting pedestrians' choices of CA strategies using the selected characteristic parameters as inputs. The modelling results prove the importance of using time-series data for pedestrian behaviour modelling, and the LSTM models show advantages over the MNL model at this point.https://royalsocietypublishing.org/doi/10.1098/rsos.220187pedestrian flow dynamicsinterweaving pedestrian flowpedestrian flow experimentcollision avoidancemulti-nomial logit modellong-short-term-memory |
| spellingShingle | Qiu Yun Luan Shao Bo Liu Zhi Jian Fu Jie Yin Lyu Experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flow Royal Society Open Science pedestrian flow dynamics interweaving pedestrian flow pedestrian flow experiment collision avoidance multi-nomial logit model long-short-term-memory |
| title | Experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flow |
| title_full | Experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flow |
| title_fullStr | Experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flow |
| title_full_unstemmed | Experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flow |
| title_short | Experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flow |
| title_sort | experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flow |
| topic | pedestrian flow dynamics interweaving pedestrian flow pedestrian flow experiment collision avoidance multi-nomial logit model long-short-term-memory |
| url | https://royalsocietypublishing.org/doi/10.1098/rsos.220187 |
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