动态稳定性分析和多车系统在异质连接交通中的优化
1School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China.
Sensors (Basel, Switzerland)
|February 13, 2025
概括
本研究介绍了一种先进的互联自动驾驶汽车 (CAV) 模型,以提高混合交通流动的稳定性. 该模型有效减少拥堵和振荡,提高交通效率和安全.
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:
- 混合交通流包括人驾驶汽车 (HDV),连接自动驾驶汽车 (CAV),自动驾驶汽车 (AV) 和连接人驾驶汽车 (CHV).
- 不同质交通中的相互作用是复杂的,需要先进的建模来进行稳定性分析.
研究的目的:
- 为混合交通环境开发和验证一个精细的CAV汽车跟踪模型.
- 确定在异质交通条件下增强交通流稳定的关键参数.
主要方法:
- 开发了一种精细的CAV汽车追踪模型,包含多车辆状态信息 (前行,速度差异,加速度,内存效应).
- 对模型的线性和非线性稳定性进行了理论分析.
- 对制动,启动和环路场景进行了数值模拟.
主要成果:
- 拟议的模型有效地抑制了交通拥堵并减少了振荡.
- 确定了影响混合环境中流动稳定的关键参数.
- 模拟验证了该模型在改善交通流动稳定性方面的有效性.
结论:
- 精致的CAV模型为混合交通中的联网车辆行为提供了有价值的见解.
- 基于CAV的策略显示出在未来运输系统中提高安全性和效率的巨大潜力.
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