信号交叉点的容量估计,考虑到连接的自动化车辆可观测性
Ruochuan Fan1,2,3, Jian Lu1,2,3
1Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
连接自动化车辆 (CAV) 提高了交叉路口的信号传输能力. 本研究提出了一种新方法,用于估计混合交通和不同CAV水平的容量,显示容量的非线性增长.
科学领域:
- 运输工程 运输工程
- 交通流理论的流量理论.
- 智能运输系统 智能运输系统
背景情况:
- 连接自动化车辆 (CAV) 提高了交叉路口的可观性.
- 现有的容量模型在混合流量和不同的CAV透率下失败.
研究的目的:
- 开发一个量化能力估计方法,用于混合交通中信号交叉点的交叉点.
- 为评估和预测越来越多CAV透的交叉作业提供基线.
主要方法:
- 改进了CAV增强参数和汽车追随状态,以获得相当的前进方向.
- 基于CAV透度的交叉路口容量的持续估计.
- 使用现实世界的交叉点数据分析容量和和趋势.
主要成果:
- 交叉路口容量随着CAV透率的增加而非线性增加.
- 对于直通和左转运动观察到明显的增长率.
- 该方法可以在不同的交通需求中进行持续的容量估计.
结论:
- 提出的方法为产能估计提供了以工程为导向的参考.
- 在混合交通条件下,可以实现准确的交通状态预测.
- 结果突出了CAV对十字路口性能的影响.
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