在具有双向影响的合作CAV中队控制中探索安全-稳定性权衡
1Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Sensors (Basel, Switzerland)
|March 13, 2024
概括
连接和自动驾驶汽车 (CAV) 排队控制受益于特定数据. 整合间距信息可以提高安全性和稳定性,而速度差数据可以提供权衡.
科学领域:
- 智能运输系统 智能运输系统
- 控制理论 控制理论
- 车辆动力学 车辆动力学
背景情况:
- 连接和自动驾驶汽车 (CAV) 使用先进的传感和通信进行合作控制.
- 排队增强了道路容量,通过减少间距和提高稳定性.
- 目前的研究主要集中在车队稳定性上,忽视了各种车辆动态对安全的影响.
研究的目的:
- 调查不同车辆动态信息对CAV中队的安全性和稳定性的影响.
- 分析双向信息流拓中安全性和稳定性之间的权衡.
- 开发一个新的框架,使用CAV中队控制的阶段转移分析.
主要方法:
- 开发了一个基于阶段转移分析的新型框架.
- 研究了使用双向信息流拓的排队控制.
- 检查了纳入各种车辆动态信息 (例如距离,速度差) 的影响.
主要成果:
- 不同信息的整合并不总是提高CAV中队的性能.
- 包含间距信息对排队的安全性和弦稳定性都有积极的影响.
- 速度差信息可以提高安全性或弦稳定性,但不能同时进行.
结论:
- 这些发现为制定各种通信拓的CAV中队控制原则提供了关键的见解.
- 强调信息动态在实现有效和安全的CAV中队控制方面的关键作用.
- 强调需要仔细考虑特定数据类型,以平衡安全性和稳定性.
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