一个跨规模的交通通信控制框架,通过在混合交通中积极缓解拥堵来提高安全
Zhigang Wu1, Meng Li2, Yanyong Guo3
1School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, 518107, China.
Accident; analysis and prevention
|December 6, 2025
概括
这项研究引入了一个新的框架,通过整合通信网络和车辆控制来缓解交通拥堵和事故. 该系统显著提高了驾驶安全和交通效率,即使连接和自动驾驶汽车 (CAV) 透率很低.
科学领域:
- 交通工程是交通工程.
- 网络通讯 网络通讯 网络通讯
- 自主系统 自主系统
背景情况:
- 大规模的交通事故源于拥堵流中的冲击波,通常是由人类不可预测的驾驶行为引起的.
- 互联和自动驾驶汽车 (CAV) 提供了减轻交通流量的潜力,但面临着影响协调的通信不稳定性挑战.
- 现有的系统难以管理混合交通环境,包括人驾驶车辆 (HDV) 和CAV.
研究的目的:
- 提出一个基于跨网络合作的拥堵缓解 (CNC-CM) 框架,以解决交通拥堵和事故.
- 提高车辆和交通系统之间的通信和协调的可靠性.
- 在交通拥堵变得危险之前,开发一种主动的方法来消除交通拥堵.
主要方法:
- 开发了一个基于跨网络协作的拥堵缓解 (CNC-CM) 框架,在交通和通信系统之间有反循环.
- 实现了距离延迟间隔回溯算法,以优化远程混合通信路由.
- 设计了一个多层次的合作战略:对重型车的微层障碍共识控制和对CAV的宏层次延迟纠正巡航控制.
主要成果:
- 通过消除交通拥堵,CNC-CM框架证明了驾驶安全的提高>54.11%.
- 在交通效率,能源消耗和通信质量方面观察到显著的改善.
- 该框架被证明是强大的和有效的,即使在混合交通环境中,CAV透率很低.
结论:
- 拟议的CNC-CM框架有效地减轻了交通拥堵,并通过整合通信和交通控制层来提高安全性.
- 多规模合作战略和优化通信路由是管理复杂交通动态的关键.
- 这种方法为改善当前和未来混合车辆环境中的交通流量和安全提供了可行的解决方案.
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