建模和分析V2V通信限制对连接和自动化车辆排队的影响
Yulu Dai1,2, Liang Hu3, Yanbin Liu4
1Hangzhou Vocational and Technical College, Hangzhou, Zhejiang, China.
连接和自动化车辆 (CAV) 排队面临来自通信限制的挑战. 新的中队智能驾驶模型 (PIDM) 通过分析通信拓和范围来提高稳定性,以实现更安全,更有效的交通流.
科学领域:
- 运输工程 运输工程
- 控制系统 控制系统
- 网络化系统 网络化系统
背景情况:
- 连接和自动化车辆 (CAV) 通过排队提供了改善的交通安全和效率.
- 车辆对车辆 (V2V) 通信对于CAV排队至关重要,但面临范围和间歇连接等局限性.
- 现有的模型很难分析这些通信限制对排队稳定性的影响.
研究的目的:
- 开发一个统一的分析框架,即中队智能驾驶模型 (PIDM),用于评估在V2V通信约束下CAV中队的稳定性.
- 在PIDM中整合动态通信拓和车辆动态.
- 量化干扰传播并使系统稳定性分析成为可能.
主要方法:
- 提出了车队智能驾驶模型 (PIDM),将动态通信拓 (前身跟随,前身跟随,k-前身跟随) 与车辆动态相结合.
- 利用数值模拟来分析在各种V2V通信约束下排队的行为.
- 量化了不同通信范围和拓复杂性对排队稳定性和恢复时间的影响.
主要成果:
- 与传统拓相比,k-前身-领导者-遵循拓表明恢复时间减少了32%.
- 确定了稳定的最佳通信范围:城市道路4-6辆车辆,高速公路8-10辆车辆.
- 发现延迟时间容忍值取决于中队规模和拓复杂性.
结论:
- PIDM提供了一个强大的框架,用于在现实世界通信限制下分析CAV中队动态.
- 结果为设计更稳定,更有效的CAV中队系统提供了实际指导方针.
- 优化通信拓和范围对于减轻V2V约束造成的不稳定性至关重要.
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