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速度摄像机分配的因果决策:方法和一个应用程序

Yingheng Zhang1, Haojie Li2

  • 1Faculty of Maritime and Transportation, Ningbo University, China.

Evaluation and program planning
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概括
此摘要是机器生成的。

本研究引入了一种因果决策方法,以优化速度摄像头的放置. 该方法优先考虑了预测减少事故最多的地点,改善了超越历史事故数据的道路安全.

关键词:
异质的治疗效果 异质的治疗效果项目评价 项目评价道路交通安全道路交通安全速度管理 速度管理统计决策理论 统计决策理论

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科学领域:

  • 道路安全工程 道路安全工程
  • 交通运输规划 交通运输规划
  • 因果推理因果推理

背景情况:

  • 速度监控摄像头对于全球道路安全至关重要.
  • 当前的速度摄像头分配通常依赖于简化的历史碰撞频率,可能缺少最佳位置.
  • 改进分配策略对于最大限度地提高道路安全效益至关重要.

研究的目的:

  • 提出和评估一个因果决策框架,以优化速度摄像机分配.
  • 模拟高速摄像机对碰撞频率的异质处理效应 (HTEs).
  • 优先考虑提供最大预测道路安全效益的地点.

主要方法:

  • 应用因果机器学习来模拟高速摄像机在碰撞频率上的HTE.
  • 开发了一个基于HTE的分配规则,以优先考虑摄像头位置.
  • 进行了一项英国案例研究,比较基于HTE,基于历史碰撞和随机分配的方法.

主要成果:

  • 历史上的碰撞频率是一个有用的,但不是最佳的,摄像机选址的标准.
  • 基于HTE的分配规则显著提高了性能,从而防止了更多的道路交通事故.
  • 与传统方法相比,拟议的方法在减少撞车事故方面表现出更高的有效性.

结论:

  • 因果决策为速度摄像机分配提供了一个优越的框架.
  • 基于HTE的规则提供了增强的道路安全好处.
  • 这种因果框架可以将其推广到运输中的其他资源分配挑战中.