考虑驾驶行为影响的有轨电车车速引导方法

Tram Speed Guidance Methods Considering Impact of Driving Behavior

摘要:

针对人工驾驶条件下有轨电车区间运行时间稳定性差且与交叉口缺乏协同的问题，提出一种考虑驾驶行为特征的有轨电车车速引导方法，通过向司机推荐加速目标速度来调整区间运行时间，并设置制动定位标识辅助司机精准制动。驾驶模拟实验表明，该方法可有效规范司机驾驶行为，减少运行时间波动，并满足与交叉口信号协同所需的精度要求。为进一步评估该方法的全局信号适应性，构建了基于运行轨迹的仿真推演评价模型，对随机生成的10⁶个信号相位差方案进行模拟。结果显示，该方法可显著提升有轨电车线路的行驶速度、节能效率和时间可靠性。除能耗外，其余指标的改善效果随交叉口停车率降低而提高，说明该方法在设置信号绿波的线路上能产生更佳运行效益。

Abstract:

To address the problem of unstable section running times and the lack of coordination with intersections during manual driving， a tram speed guidance method considering the characteristics of driving behavior is proposed. An acceleration target speed is recommended to the driver to adjust the section running time， and brake positioning signs are set to assist the driver in achieving precise braking. The driving simulation experiments demonstrate that this method can effectively regulate driver behavior， reduce travel time fluctuations， and achieve the required precision for intersection signal coordination. To further evaluate the global signal adaptability of the method， a simulation deduction evaluation model using operational trajectories was developed and used to simulate 10⁶ randomly generated signal phase offset schemes. The results show that the method can significantly improve the travel speed， energy efficiency， and time reliability of tram lines. Except for energy consumption， the improvements in other indicators increase with the reduction of the stop rates at intersections， indicating that this method delivers better operational performance on routes with coordinated signal green waves.