在高速公路编织地区的驾驶风格多样性:以无人机为基础的对人口分布模式和操作参数关系的分析
Zhibing Yuan1, Zhenghua Huang1, Xin Su2
1School of Foreign Studies, Yiwu Industrial & Commercial College, Jinhua, China.
PloS one
|December 3, 2025
概括
运行参数显著影响高速公路编织区域的驾驶员行为. 编织复杂性和前进时间与驾驶风格分布相关,影响交通安全和效率.
科学领域:
- 交通工程是交通工程.
- 运输科学 运输科学
- 行为分析 行为分析
背景情况:
- 驾驶风格的异质性影响高速公路编织区域的安全性和效率.
- 操作参数对驾驶员行为模式的系统影响尚不清楚.
研究的目的:
- 检查编织区运营特征和驾驶风格人口分布之间的关系.
- 量化不同编织区域的驾驶风格分布的变化.
主要方法:
- 利用无人机收集的轨迹数据 (12,707个轨迹) 来自七个高速公路编织区域.
- 提取了六个驾驶风格特征 (速度,加速度) 并应用了高斯混合模型集群.
- 使用香农,吉尼系数和统治指数量化人口分布.
主要成果:
- 确定了三个驾驶风格:积极的 (23.5%),适度的 (58.9%),保守的 (17.6%).
- 编织复杂性与香农 (r=0.909) 呈正相关,进度时间呈负相关 (r=-0.760).
- 确定了编织长度效应的300米关键值;ML模型实现了95.4%的准确性.
结论:
- 操作参数通过层次模式系统地塑造驾驶风格的分布.
- 几何,交通流程和编织任务参数影响集体驾驶员行为.
- 研究结果为优化智能运输系统中的交通管理提供了洞察力.
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