识别影响驾驶员在未标记交叉路口产生行为的建筑环境因素:在明尼苏达州收集的自然主义开源数据集
Tianyi Li1, Joshua Klavins2, Te Xu2
1Department of Civil Engineering Saint Louis University, United States of America.
Journal of safety research
|February 22, 2025
概括
司机在十字路口的行为受到了诸如车辆速度和便利设施的接近等因素的影响. 这项研究提供了一个全面的数据集,以提高行人安全,并为自动化车辆设计提供信息.
科学领域:
- 运输科学 运输科学
- 城市规划 城市规划
- 人与计算机的交互
背景情况:
- 司机与行人之间的互动是复杂的,受到许多因素的影响.
- 现有的研究往往缺乏关于建筑环境对驾驶员屈服行为的影响的全面,自然主义研究.
研究的目的:
- 解决了解驾驶员在没有信号的交叉路口的行为上的差距.
- 提供一个全面的,开源数据集的驾驶员和行人互动和情境变量.
- 开发一个对驾驶员放弃行为进行预测的模型.
主要方法:
- 从明尼苏达州18个没有信号的十字路口的视频数据中编制了一个广泛的数据集.
- 记录了3000多个驾驶员与行人之间的互动和50多个上下文变量.
- 利用后勤回归来构建用于预测驾驶员产量的分类模型.
主要成果:
- 车辆的速度,停车场的存在,与公园/学校的距离,以及道路交叉路口的宽度都会对驾驶员产生重大影响.
- 确定了影响驾驶员在无信号交叉路口的决定的关键环境和情境因素.
结论:
- 发表了美国最广泛的司机-行人数据集之一,以提高道路安全和可行性.
- 调查结果和数据集支持社区改善行人安全,并为自动化车辆设计提供信息.
- 为未来的交叉路口设计提供了建议,以提高行人安全.
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