在多个固定时间信号交叉点的生态驾驶策略,考虑交通流量效应
Huinian Wang1, Junbin Guo2, Jingyao Wang3
1Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, China.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
本研究介绍了连接和自动驾驶汽车 (CAV) 的生态驾驶策略,以减少燃料消耗和排放. 该策略提高了交通效率,特别是在CAV透率更高的情况下.
科学领域:
- 交通工程是交通工程.
- 汽车工程 汽车工程
- 环境科学 环境科学
背景情况:
- 信号交叉路口的交通拥堵导致燃料消耗和排放量增加.
- 混合交通环境与传统和连接和自动化车辆 (CAV) 构成了交通效率的挑战.
研究的目的:
- 制定CAV的生态驾驶战略,以提高交通效率并减少交叉路口区域的环境影响.
- 优化车辆速度轨迹,以减少燃料消耗,排放和改善交通流动.
主要方法:
- 分析交通波理论,以建模交叉路口队列动态.
- 开发一个交通流动情况估计模型,用于队列和车队长度.
- 关于可行的速度设置计算方法的建议,用于平滑速度轨迹的三角形状.
- 优化速度轨迹,考虑到燃料消耗,排放和交通效率成本.
主要成果:
- 随着CAV透率的增加,生态驾驶策略显著提高了交通性能和燃油经济性.
- 在100%的CAV透率下,平均速度增加了9.5%,停止减少了78.2%,停止延迟减少了82.0%.
- 燃料消耗,NOx和HC排放量分别减少了20.4%,39.4%和46.6%.
结论:
- 拟议的生态驾驶策略在改善交通效率和减少混合交通环境中的环境影响方面是有效的.
- 该战略显示出了实质性的好处,特别是在高度连接和自动化车辆透的场景中.
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