The Digital Evaluation of Driver’s Field of View and its Potential Impact on Cyclist Safety

R. Marshall, S. Summerskill, S. Cook
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引用次数: 1

Abstract

Driver vision from vehicles is a long standing issue. One highly topical scenario includes accidents to vulnerable road users and in particular cyclists, from collisions with large goods vehicles (LGVs). In many of these cases driver vision is a potential causal factor in the occurrence of the accident. This paper presents research performed into the evaluation of driver vision, funded by the UK Department for Transport. To support the research, a 3D volumetric assessment technique was developed in the SAMMIE digital human modelling system. This highly visual technique provides an indication of the visible volumes of space around a vehicle and any blind spots. Vision was evaluated for a range of vehicle types from cars through to LGVs. To investigate the potential casual effects of vision in accidents and specifically those involving cyclists, scenarios were identified from UK Police accident data. These scenarios were then modelled and evaluated digitally. The results highlight that blind spots exist on many vehicles and for all driver sizes. Many of these blind spots can be countered by a change in posture of the driver. However, the most significant blind spot was found on Category N3 LGVs to the near-side of the vehicle. The research was also instrumental in a change to the EU Regulation 46 to remove the blind spot from future LGVs.
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驾驶员视野的数字化评估及其对骑行者安全的潜在影响
从车辆上看驾驶员的视野是一个长期存在的问题。一个备受关注的情景包括与大型货车(lgv)发生碰撞,给脆弱的道路使用者,特别是骑自行车的人造成事故。在许多情况下,驾驶员的视力是事故发生的潜在原因。本文介绍了由英国交通部资助的驾驶员视力评估研究。为了支持这项研究,在SAMMIE数字人体建模系统中开发了一种三维体积评估技术。这种高度视觉化的技术提供了车辆周围可见空间和任何盲点的指示。对从轿车到轻型货车的一系列车辆类型进行了视觉评估。为了调查事故中视力的潜在偶然影响,特别是那些涉及骑自行车的人,从英国警方的事故数据中确定了场景。然后对这些场景进行数字化建模和评估。结果表明,盲点存在于许多车辆和所有大小的司机。许多盲点可以通过改变驾驶员的姿势来消除。然而,最显著的盲点出现在N3类轻型货车的近侧。这项研究还有助于修改欧盟第46号法规,以消除未来地方政府融资平台的盲区。
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