在高速公路走廊上的交通事故和连接车辆事件数据与硬肩跑的比较
Nischal Gupta1, Qiuqi Cai1, Hisham Jashami1
1Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, United States.
Accident; analysis and prevention
|December 28, 2024
概括
互联汽车 (CV) 事件和交通事故与拥堵相关. CV事件更好地反映了大流行旅行模式的变化,提供了更及时的交通安全数据替代方案.
科学领域:
- 交通安全工程 交通安全工程
- 运输数据分析 运输数据分析
- 连接和自动驾驶汽车技术技术
背景情况:
- 传统的警察事故报告对交通安全研究有局限性,因为事故数据不频繁.
- 联网汽车 (CV) 事件数据为传统事故数据提供了一个可扩展和及时的替代方案.
- CV 事件与实际交通事故之间的关系需要进一步调查.
研究的目的:
- 为了检查CV驾驶事件的频率和高速公路走廊上的交通事故,硬肩运行.
- 为了比较关于交通量和肩带状态 (开放/关闭) 的CV事件和事故.
- 在COVID-19流行病的早期阶段分析这些指标.
主要方法:
- 来自密歇根州东南部高速公路走廊的CV事件数据和警察事故报告的分析.
- 基于交通量,肩带状态和时间段 (COVID-19限制之前/期间) 的事件和撞车频率的比较.
- 统计分析以确定CV事件和车祸之间的相关性和差异.
主要成果:
- 交通状况与车祸和CV事件的频率之间发现了强烈的相关性.
- 在交通拥堵期间,车祸和CV事件都增加了.
- 根据肩带状态,撞车和CV事件之间出现了显著的差异;CV事件反映了大流行旅行模式的转变.
结论:
- 简历事件数据显示,作为交通安全分析的警察事故报告的补充或替代数据源,有希望.
- 该研究强调了交通管理策略 (硬肩运行) 对安全事件的影响.
- 简历数据对旅行模式变化的敏感性使其对了解现实世界的交通动态非常有价值,特别是在COVID-19大流行等前所未有的事件期间.
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