节点文献
营运车辆道路基础设施防碰撞性能测试方法
Testing method for anti-collision performance of commercial vehicles against road infrastructure
【摘要】 【目标】为规范、有效检测营运车辆对道路基础设施防碰撞性能能力,本研究提出一种营运车辆道路基础设施防碰撞性能测试方法。【方法】通过对与道路基础设施碰撞有关的典型事故复现,提取事故中碰撞场景特征参数,设计适用于封闭场地的整车测试场景。针对汽车检测中,被测车辆操控一致性需求,分段拟合营运车辆道路基础设施防碰撞性能测试中的车辆行驶轨迹,提出偏折法和弧线法2种车辆控制方法。使用具备道路基础设施防碰撞功能的M3类营运客车,对所提出的两种测试方法进行验证。【结果】试验结果表明,所提出的2种方法均可触发车辆防碰撞功能,有效用于营运车辆对道路基础设施防碰撞。【结论】使用皮尔逊一致性检验,对不同轨迹测试数据进行一致性分析,可得本研究提出的圆弧法在实际试验操作中,数据一致性更高,驾驶员操作稳定性更好,在相同测试条件下,优先推荐使用。
【Abstract】 [Objective]This study proposes a testing method for anti-collision performance of commercial vehicles against road infrastructure, so as to standardize and effectively assess anti-collision performances. [Method] First, typical accidents involving collisions with road infrastructure were reconstructed. Key parameters of collision scenarios were extracted. Based on these, whole-vehicle test scenarios suitable for closed test sites were designed. To meet the requirement for consistent vehicle control during testing, the vehicle trajectory in anti-collision test was fitted in segments. Two vehicle control methods were proposed, i.e., deflectometry method and transverse arc method, which were verified by using M3-Class commercial vehicles equipped with road infrastructure anti-collision systems. [Result] Both proposed methods can activate the vehicles’ anti-collision function. They are effective in testing anti-collision performance of commercial vehicles against with road infrastructure. [Conclusion] Pearson consistency tests were conducted to analyze the consistency of test data from different trajectories. The proposed transverse arc method demonstrates higher data consistency and better driver operation stability in actual testing. Therefore, the transverse arc method is recommended as the preferred approach in the same test conditions.
【Key words】 automotive engineering; testing method; accident feature extraction; advanced emergency braking system; active safety technology;
- 【文献出处】 公路交通科技 ,Journal of Highway and Transportation Research and Development , 编辑部邮箱 ,2025年S1期
- 【分类号】U467.14;U491.5
- 【下载频次】2