前进的零愿景计划:哪些以行人为中心的对策组合最有效,在哪里? 一种基于的动态时间序列方法
Haniyeh Ghomi1, Mohamed Hussein1
1Department of Civil Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L7, Canada.
Accident; analysis and prevention
|August 5, 2023
概括
视野零安全计划受益于新的R-vine copula模型来评估治疗的有效性. 这种动态时间序列方法可以根据位置特征确定最有效的行人安全策略及其组合.
科学领域:
- 交通安全工程 交通安全工程
- 统计建模 统计建模
- 城市规划 城市规划
背景情况:
- 零愿景是一个关键的系统安全计划,但由于相互依赖,评估其处理效率是具有挑战性的.
- 传统的前后或横截面研究对复杂的Vision Zero计划有局限性.
研究的目的:
- 提出并应用一个基于R-vine copula的动态时间序列模型来评估Vision Zero处理效率.
- 了解长期治疗的影响,并确定最佳的治疗组合.
- 调查位置特征与处理性能之间的关系.
主要方法:
- 开发一个动态的R-vine copula时间序列模型.
- 该模型在多伦多的街区层面上应用于与行人相关的治疗.
- 利用了多伦多的Vision Zero绘图工具中的碰撞数据和对策.
主要成果:
- 最常见的有效治疗组合包括减速限制,行人间隔 (LPI) 和社区安全区.
- 具体的组合在不同的邻里环境中被证明最有效:执法/减速 (高中密度),LPI (高地铁/办公密度) 和驾驶员反标志/自动执法/社区区域/减速 (高交叉密度).
结论:
- 拟议的模型准确地评估了Vision Zero治疗效率,并确定了特定环境的最佳策略.
- 调查结果有助于决策者根据邻里特征和现有对策选择有效的治疗方法.
- 这种方法增强了"零愿景"的战略实施,以提高行人安全.
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