在混合交通环境下,高速公路道入口的连接和自动驾驶车辆的速度优化模型
Jianrong Cai1, Yang Liu2, Zhixue Li3
1School of Civil Engineering, Hunan City University, Yiyang, China.
PloS one
|December 9, 2024
概括
本研究引入了高速公路道入口的速度指导模型,提高了混合交通中的安全性. 越来越多的互联和自动驾驶汽车 (CAV) 显著降低了速度变化和碰撞风险.
科学领域:
- 交通工程是交通工程.
- 智能运输系统 智能运输系统
- 车辆动力学 车辆动力学
背景情况:
- 后部碰撞是高速公路道入口的主要安全问题.
- 现有的速度优化模型不足以解决混合交通的道入口环境.
研究的目的:
- 为高速公路道入口开发速度指导模型,考虑连接和自动驾驶汽车 (CAV) 和人驾驶汽车 (HV).
- 提高交通安全,优化道入口区域的车辆流动.
主要方法:
- 使用射击启发式算法为CAV的速度优化模型,最大限度地减少速度差异和旅行时间.
- 由智能驾驶模型 (IDM) 确定的人驾驶车辆 (HV) 速度轨迹.
- 使用AMPL和BONMIN解决器解决的优化,安全性通过时间到碰撞 (TTC) 和速度标准偏差 (SD) 进行评估.
主要成果:
- 在100%的CAV透率下,速度标准偏差 (SD) 显著减少58.38%.
- 在SD和平均TTC中,最显著的改善发生在CAV透率在0%至40%之间.
- 最低TTC值始终超过安全值,验证了该模型的安全增强能力.
结论:
- 拟议的速度指导框架有效地提高了高速公路道入口的交通安全.
- 较高的CAV透率导致更稳定的交通流和减少碰撞风险.
- 该模型证明了在关键基础设施区域管理混合交通环境的实际适用性.
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