arXiv:2509.25929eess.SYcs.RO2025-09

提前调整异构车辆轨迹,提升高速汇入区通行效率与安全。

Preemptive Spatiotemporal Trajectory Adjustment for Heterogeneous Vehicles in Highway Merging Zones

  • 基于时空资源协同,量化安全距离并优化汇入策略。
  • 主路与匝道车平均延迟分别降低90.24%和74.24%。
  • 适合自动驾驶车辆协同控制与交通仿真研究者参考。

针对高速公路匝道汇入区驾驶员感知滞后及时空资源利用效率低的问题,提出一种预置时空轨迹调整系统。从时空资源协调角度,定量分析轨迹预准备中的合理安全时空距离。通过引入双重定位误差与时空轨迹跟踪误差,分析匝道车辆汇入主路所需的最小安全间距。提出融合车辆类型、驾驶意图与安全时空距离的汇入控制策略,系统阐述不同车型下匝道目标车与主路协作车的汇入方案。在多种流量与速度场景下进行全组合仿真,通过时-位-速图对比分析车辆运行特性与汇入动态差异,以平均速度与平均延迟为评价指标,定量评估预置协同汇入策略的优势。结果表明,主路与匝道车辆最大平均延迟改善率分别达90.24%和74.24%。该策略有效避免潜在冲突与紧急制动,提升汇入区行车安全性,显著增强驾驶稳定性与整体交通效率。

原文摘要 · Abstract (English)

Aiming at the problem of driver's perception lag and low utilization efficiency of space-time resources in expressway ramp confluence area, based on the preemptive spatiotemporal trajectory Adjustment system, from the perspective of coordinating spatiotemporal resources, the reasonable value of safe space-time distance in trajectory pre-preparation is quantitatively analyzed. The minimum safety gap required for ramp vehicles to merge into the mainline is analyzed by introducing double positioning error and spatiotemporal trajectory tracking error. A merging control strategy for autonomous driving heterogeneous vehicles is proposed, which integrates vehicle type, driving intention, and safety spatiotemporal distance. The specific confluence strategies of ramp target vehicles and mainline cooperative vehicles under different vehicle types are systematically expounded. A variety of traffic flow and speed scenarios are used for full combination simulation. By comparing the time-position-speed diagram, the vehicle operation characteristics and the dynamic difference of confluence are qualitatively analyzed, and the average speed and average delay are used as the evaluation indices to quantitatively evaluate the performance advantages of the preemptive cooperative confluence control strategy. The results show that the maximum average delay improvement rates of mainline and ramp vehicles are 90.24 % and 74.24 %, respectively. The proposed strategy can effectively avoid potential vehicle conflicts and emergency braking behaviors, improve driving safety in the confluence area, and show significant advantages in driving stability and overall traffic efficiency optimization.

自动驾驶交通控制协同优化时空轨迹

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