【摘要】 在城市道路中，通过优化交通信号控制实现交通减排已成为一种重要手段。随着电动汽车数量的快速增长，电动汽车与燃油汽车在道路上共存的异构动力交通流已成为常态，信号控制的减排场景及其对应减排特征面临革新。文章基于交通仿真与机动车比功率排放模型、电动车排放估计模型，分析比较了电动汽车与燃油汽车在交叉口的排放特征。为了量化因交通控制引起的排放，文章还提出了“额外排放”的指标，并分析了额外排放与交通控制目标（延误、停车次数、平均速度）在不同饱和度下的相关关系。研究发现：车辆通过交叉口过程中，燃油车加速工况产生的额外排放占总量的60%～95%，电动车占98%～115%，并且拥有相同的变化特征；车辆排放与车辆的延误、平均停车、平均速度的强相关性，可以为多目标权重设计提供依据。研究结论为推动动力异构环境下的城市交通减排信号控制提供了理论支持。更多还原

【Abstract】 In urban roads, optimizing traffic signal control to achieve traffic emission reduction has become an important strategy.With the rapid increase in the number of electric vehicles, the coexistence of heterogeneous traffic flows comprising both electric and internal combustion engine vehicles has become the norm, necessitating an innovation in the emission reduction scenarios and corresponding characteristics of signal control. This study employs traffic simulation along with power-to-weight emission models for motor vehicles and emission estimation models for electric vehicles to analyze and compare the emission characteristics of EVs and conventional vehicles at intersections. To quantify emissions attributed to traffic control, the study introduces the metric of "additional emissions" and examines its correlation with traffic control objectives(delay, number of stops, average speed) under varying saturation levels. The findings reveal that during the passage through intersections, the additional emissions produced by fuel vehicles during acceleration account for 60% to 95% of the total, while for electric vehicles, this figure ranges from 98% to 115%, both exhibiting similar variation characteristics. The strong correlation between vehicle emissions and metrics such as vehicle delay, average stops, and average speed provides a basis for multi-objective weighting design. The conclusions of this research provide theoretical support for promoting emission-reducing signal control in heterogeneous traffic environments.更多还原