Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment
Abstract Busy walking paths, like in a park, city centre, or shopping mall, frequently necessitate collision avoidance behaviour. Lab-based research has shown how different situation- and person-specific factors, typically studied independently, affect avoidance behaviour. What happens in the real w...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-88149-3 |
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| _version_ | 1832571659169562624 |
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| author | Mohammadamin Nikmanesh Michael E. Cinelli Daniel S. Marigold |
| author_facet | Mohammadamin Nikmanesh Michael E. Cinelli Daniel S. Marigold |
| author_sort | Mohammadamin Nikmanesh |
| collection | DOAJ |
| description | Abstract Busy walking paths, like in a park, city centre, or shopping mall, frequently necessitate collision avoidance behaviour. Lab-based research has shown how different situation- and person-specific factors, typically studied independently, affect avoidance behaviour. What happens in the real world is unclear. Thus, we filmed unscripted pedestrian walking behaviours on a busy urban path. We leveraged deep learning algorithms to identify and extract pedestrian walking trajectories and had unbiased raters characterize situations where two pedestrians approached each other from opposite ends. We found that smaller medial-lateral distance between approaching pedestrians and smaller crowd size predicted an increased likelihood of a subsequent path deviation. Furthermore, we found that whether a pedestrian looked distracted or held, pushed, or pulled an object predicted medial-lateral distance between pedestrians at time of crossing. Our results highlight both similarities and differences with lab-based behaviour and offer insights relevant to developing accurate computational models for realistic pedestrian movement. |
| format | Article |
| id | doaj-art-6a3e8444f4004c4283386db5466160de |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-6a3e8444f4004c4283386db5466160de2025-02-02T12:23:56ZengNature PortfolioScientific Reports2045-23222025-01-0115111110.1038/s41598-025-88149-3Identifying factors that contribute to collision avoidance behaviours while walking in a natural environmentMohammadamin Nikmanesh0Michael E. Cinelli1Daniel S. Marigold2Department of Biomedical Physiology and Kinesiology, Simon Fraser UniversityDepartment of Kinesiology and Physical Education, Wilfrid Laurier UniversityDepartment of Biomedical Physiology and Kinesiology, Simon Fraser UniversityAbstract Busy walking paths, like in a park, city centre, or shopping mall, frequently necessitate collision avoidance behaviour. Lab-based research has shown how different situation- and person-specific factors, typically studied independently, affect avoidance behaviour. What happens in the real world is unclear. Thus, we filmed unscripted pedestrian walking behaviours on a busy urban path. We leveraged deep learning algorithms to identify and extract pedestrian walking trajectories and had unbiased raters characterize situations where two pedestrians approached each other from opposite ends. We found that smaller medial-lateral distance between approaching pedestrians and smaller crowd size predicted an increased likelihood of a subsequent path deviation. Furthermore, we found that whether a pedestrian looked distracted or held, pushed, or pulled an object predicted medial-lateral distance between pedestrians at time of crossing. Our results highlight both similarities and differences with lab-based behaviour and offer insights relevant to developing accurate computational models for realistic pedestrian movement.https://doi.org/10.1038/s41598-025-88149-3 |
| spellingShingle | Mohammadamin Nikmanesh Michael E. Cinelli Daniel S. Marigold Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment Scientific Reports |
| title | Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment |
| title_full | Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment |
| title_fullStr | Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment |
| title_full_unstemmed | Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment |
| title_short | Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment |
| title_sort | identifying factors that contribute to collision avoidance behaviours while walking in a natural environment |
| url | https://doi.org/10.1038/s41598-025-88149-3 |
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