在传感器精度变化下的新兴混合流量流中的脉冲滑动行为:能源安全视角
Mengyuan Huang1, Jinjun Sun2, Honggang Li3
1School of Automotive and Transportation Engineering, Shenzhen Polytechnic University, Shenzhen 518055, China.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
脉冲和滑动 (PnG) 驾驶在连接和自动化车辆 (CAV) 中显著降低了高达39.53%的燃油消耗,并减少了30%的交通冲突. 在CAV中增强的传感器精度进一步提高了安全性和燃油效率.
科学领域:
- 可持续的交通运输系统
- 智能运输系统 (ITS) 是一种智能运输系统.
背景情况:
- 脉冲和滑动 (PnG) 是一种主要用于手动变速箱车辆的节油技术.
- 连接和自动化车辆 (CAV) 中的PNG的有效性及其对节能的影响尚未得到充分研究.
- CAV在感知能力上表现出个体差异,影响节能和安全.
研究的目的:
- 调查PnG和CAV在混合流量交通中对节能和安全的综合影响.
- 分析不同CAV传感精度对燃料消耗和交通冲突的影响.
- 为可持续的运输系统转型提供理论基础.
主要方法:
- 模拟混合交通流动场景,涉及具有不同传感准确度的CAV.
- 将PNG驾驶策略与CAV整合起来.
- 分析燃油消耗,交通冲突和运营效率.
主要成果:
- 与传统驾驶相比,PNG实现了39.53%的最大燃油节约率,并减少了约30%的冲突.
- 带有增强传感器检测范围的CAV提高了运行安全性,并导致更均的燃料消耗.
- 适度的PNG加速度 (1-2 m/s2) 优化了燃料消耗和安全性,可能提高交叉点的效率.
结论:
- 将PNG与CAV相结合,可以在混合交通中显著节省燃料和提高安全性.
- 对于最大限度地节省能源和改善安全,CAV传感器的准确性至关重要.
- 优化PNG策略可以提高整体运输系统的效率和可持续性.
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