在十字路口的碰撞率分析中整合视觉因素:对自行车安全的AutoML和SHAP方法

Huiyuan Xue1, Peizhuo Guo1, Yiyan Li2

  • 1Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China.

概括

本研究使用先进的机器学习确定了导致城市自行车撞车事故的关键视觉因素. 调查结果强调道路障碍,开放的天空和可见的卡车作为重大风险,为更安全的城市规划提供信息.

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