微型移动车辆在逃避机动过程中的动力特征
Paolo Terranova1, Shu-Yuan Liu2, Sparsh Jain1
1Virginia Tech Transportation Institute, United States; Department of Biomedical Engineering and Mechanics, Virginia Polytechnic and State University, United States.
Journal of safety research
|February 25, 2025
概括
电动微型移动车辆 (MMV) 显示出比传统车辆更好的制动,但偏向更差. 手柄装置的性能优于没有手柄的设备,零件式模型适合制动轨迹,有助于交通安全分析.
科学领域:
- 道路安全研究 道路安全研究
- 人与计算机的互动.
- 运输工程 运输工程 运输工程
背景情况:
- 微型出行车 (MMV) 越来越受欢迎,引发了道路安全和公共卫生方面的担忧.
- 描述MMV运动性能和安全界限对于理解它们的行为至关重要.
- 本研究解决了有效的MMV安全分析的需要.
研究的目的:
- 描述MMV在紧急动作中的运动行为.
- 检查不同电源对MMV性能的影响.
- 评估线性模型对于MMV轨迹分析的适用性.
主要方法:
- 进行了40名骑手在各种电动和传统MMV上的测试轨道实验,以及作为行人.
- 执行紧急制动和偏向机动,以收集动力学数据.
- 估计的最小曲率半径,以确定偏向边界.
主要成果:
- 与传统同行相比,电动MMV表现出优异的制动性能;倾斜性能是相反的.
- 装有手柄的MMV (自行车,滑板车) 性能优于没有手柄的MMV (滑板,单轮).
- 零碎的线性模型准确地适应了大多数MMV的制动轨迹,滑板和行人除外.
结论:
- MMV的机动性受到设备类型和电源的显著影响,影响碰撞安全.
- 零碎线性模型为制动轨迹提供参数化函数,对于交通事件重建和模拟非常有用.
- 调查结果可以为交通监管机构和MMV设计人员提供信息,以提高用户安全,并使智能系统能够预测骑手的行为.
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