为缓解日益严重的快速路交通拥堵及交通污染问题, 在经典 ALINEA 匝道控制算法基础上考虑碳排放的影响, 通过宏观基本图将实时碳排放测度指标与占有率指标相结合提出宏观碳排放阈值指标, 构建兼顾主线与匝道碳减排以及路网运行效率提升的 CE-ALINEA(carbon emission-ALINEA) 分级控制算法, 并通过VISSIM 仿真实验比较不同控制算法的控制效果. 结果表明: 相比 ALINEA 控制, CE-ALINEA 控制不仅能有效减少主线排放量并提升主线运行效率, 还能明显减少因匝道控制而增加的匝道碳排放; CE-ALINEA 控制在改变检测器布设下能有效测度主线碳排放并对主线交通具有稳定的控制效果; 随着电动汽车渗透率增加, CE-ALINEA 减排效果有所减弱, 但与 ALINEA 相比对匝道碳排放仍有较好的减排效果.

To alleviate the increasing serious traffic congestion and pollution problems on expressways, the impact of carbon emissions was considered based on the classic ALINEA ramp control algorithm. A macrocarbon emission threshold index was proposed by combining real-time carbon emission measurement indicators with occupancy indicators using a macroscopic fundamental diagram. A carbon emission-ALINEA (CE-ALINEA) hierarchical control algorithm was constructed, which considers the carbon emissions reduction of the mainline and ramps as well as the improvement in road network operation efficiency. Furthermore, the control effects of different control algorithms were compared via VISSIM simulation experiments. The results showed that when compared to ALINEA control, the CE-ALINEA control can not only effectively reduce mainline emissions and improve main-line operation efficiency, but also significantly reduce the increase in ramp carbon emissions due to ramp control. Furthermore, CE-ALINEA control can effectively measure mainline carbon emissions and have a stable control effect on mainline traffic by changing the layout of detectors. As the penetration rate of electric vehicles increases, the carbon reduction effect of CE-ALINEA weakens. However, when compared to ALINEA, it continues to exhibit a better reduction effect on ramp carbon emissions.