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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2404.10528 |
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| _version_ | 1866916208511549440 |
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| author | Chiang, Chia-Yen Zhong, Ruikang Ding, Jennifer Wood, Joseph Bee, Stephen Jaber, Mona |
| author_facet | Chiang, Chia-Yen Zhong, Ruikang Ding, Jennifer Wood, Joseph Bee, Stephen Jaber, Mona |
| contents | Active travel is an essential component in intelligent transportation systems. Cycling, as a form of active travel, shares the road space with motorised traffic which often affects the cyclists' safety and comfort and therefore peoples' propensity to uptake cycling instead of driving. This paper presents a unique dataset, collected by cyclists across London, that includes video footage, accelerometer, GPS, and gyroscope data. The dataset is then labelled by an independent group of London cyclists to rank the safety level of each frame and to identify objects in the cyclist's field of vision that might affect their experience. Furthermore, in this dataset, the quality of the road is measured by the international roughness index of the surface, which indicates the comfort of cycling on the road. The dataset will be made available for open access in the hope of motivating more research in this area to underpin the requirements for cyclists' safety and comfort and encourage more people to replace vehicle travel with cycling. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_10528 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AllTheDocks road safety dataset: A cyclist's perspective and experience Chiang, Chia-Yen Zhong, Ruikang Ding, Jennifer Wood, Joseph Bee, Stephen Jaber, Mona Multimedia Active travel is an essential component in intelligent transportation systems. Cycling, as a form of active travel, shares the road space with motorised traffic which often affects the cyclists' safety and comfort and therefore peoples' propensity to uptake cycling instead of driving. This paper presents a unique dataset, collected by cyclists across London, that includes video footage, accelerometer, GPS, and gyroscope data. The dataset is then labelled by an independent group of London cyclists to rank the safety level of each frame and to identify objects in the cyclist's field of vision that might affect their experience. Furthermore, in this dataset, the quality of the road is measured by the international roughness index of the surface, which indicates the comfort of cycling on the road. The dataset will be made available for open access in the hope of motivating more research in this area to underpin the requirements for cyclists' safety and comfort and encourage more people to replace vehicle travel with cycling. |
| title | AllTheDocks road safety dataset: A cyclist's perspective and experience |
| topic | Multimedia |
| url | https://arxiv.org/abs/2404.10528 |