为降低纯电动公交车能耗与行驶时间，避免其在信号交叉口出现二次启停，提出考虑驻站的纯电动公交车出站生态驾驶策略，通过适时延长公交车在站台的停留时间，可将信号交叉口处的延误时间“迁移”至站台。首先，采集纯电动公交车自然驾驶数据，分析其出站时的运动及能耗特征。其次，根据公交车到站时信号灯状态划分4种情景，确定各情景下公交车可通过交叉口的时间窗。然后，构建考虑驻站的纯电动公交车出站生态驾驶优化模型，并采用NSGA-Ⅱ算法求解驻站时间和出站速度序列。最后，对模型进行仿真验证。结果表明，所提出的“驻站+速度诱导”出站策略可有效降低不同出站情景下的公交车能耗与行驶时间：当绿灯剩余时长较短或红灯剩余时长较长时，节能率（14.82%~21.19%）和行驶时间下降率（9.36%~14.24%）均较大；而当绿灯剩余时长较长或红灯剩余时长较短时，节能率（8.98%~12.25%）和行驶时间下降率（4.59%~8.63%）均较小。该策略可为纯电动公交车生态驾驶的优化及城市公交系统绿色低碳运营提供技术参考。

To reduce the energy consumption and travel time of pure electric buses and avoid secondary stopping and starting at signalized intersections, an eco-driving strategy for pure electric buses departing from stops considering holding time was proposed. By appropriately extending the bus′s dwelling time at stops, the delay time at signalized intersections can be "shifted" to the stops. Firstly, natural driving data of pure electric buses were collected to analyze their motion and energy consumption characteristics during departure. Subsequently, four scenarios were defined based on the signal status when the buses arrive at the stops, and the time windows during which the buses can pass through the intersection under each scenario were determined. Then, an optimization model for the eco-driving of pure electric buses departing from stops considering holding time was established, and the NSGA-Ⅱ algorithm was used to solve for the holding time and departure speed sequence. Finally, the model was simulated and validated. The results showed that the proposed "holding time + speed guidance" departure strategy could effectively reduce bus energy consumption and travel time under different departure scenarios. When the remaining green time was short or the remaining red time was long, both the energy saving rate (14.82%~21.19%) and travel time reduction rate (9.36%~14.24%) were significant. In contrast, when the remaining green time was long or the remaining red time was short, the energy saving rate (8.98%~12.25%) and travel time reduction rate (4.59%~8.63%) were relatively smaller. This strategy can provide a technical reference for optimizing eco-driving of pure electric buses and promoting green and low-carbon operations in urban bus systems.