在密集的混合交通条件下进行双层道合并协调
1Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg 41296, Sweden.
Fundamental research
|December 11, 2024
概括
本研究介绍了连接和自动驾驶汽车 (CAV) 和人驾驶汽车 (HDV) 的双层战略,以改善高速公路道合并. 该系统提高了交通效率,安全性,并减少了排放,特别是在拥挤的条件下.
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
- 自动驾驶汽车技术自动驾驶汽车技术
背景情况:
- 高速公路上坡道上的瓶是交通拥堵,排放和安全问题的关键点.
- 混合交通环境与互联和自动驾驶汽车 (CAV) 和人驾驶汽车 (HDV) 提出了独特的协调挑战.
- 在宏观层面优化交通流量对于管理复杂的合并场景至关重要.
研究的目的:
- 提出一种新的双层协调战略,以优化高速公路在混合交通中路面上的合并.
- 为了提高整体交通效率,安全,并减少排放在拥堵的交通条件下.
- 解决人类驾驶员和随机到达模式带来的不确定性.
主要方法:
- 一个双层优化模型,集成基本图表和冲击波理论,用于宏观层面的决策.
- 微型级别的排队规模的确定和协调的轨迹设计,用于合并的车辆.
- 实施一个回退的地平线方案来管理驱动器的随机性.
主要成果:
- 拟议的战略有效地解决了混合交通场景中的不确定性.
- 观察到,道合并效率和交通稳定性得到了实质性的改善.
- 显著减少碰撞风险和排放,特别是在高交通量的情况下.
结论:
- 双层协调战略为混合交通高速公路上道的合并提供了一个强大的解决方案.
- 这种方法证明了CAV的潜力,可以显著改善交通流动动态和安全.
- 这种策略对于在高峰交通条件下管理拥堵和环境影响尤其有益.
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