An intersection is an area with more energy consumption and emissions by motor vehicles, and the energy consumption and emissionsof vehicles at intersections should be reduced in road planning and traffic control to improve the urban traffic environment. In order to analyze the influence of signal timing on CO2 emission of traffic flow under the mixed traffic environment of fuel vehicles and electric vehicles. A set of CO2 incremental emission models is established to estimate the CO2 emissions of fuel vehicles and electric vehicles at signalized intersections. Then, a signal timing model with minimum CO2 emissions is established, and the influence of signal timing with minimum CO2 emissions on vehicle control delay and stop rates under different traffic conditions is analyzed. The case study shows that optimizing of the timing parameters of intersections from the perspective of vehicle CO2 emissions is different from the perspective of control delay or stop rate; the model’s timing optimization will effectively balance the CO2 emissions generated by vehicles during the acceleration, deceleration and idling stages, essentially achieving a comprehensive consideration of vehicle control delay and stop rates. When the road section speed and the mixed proportion of electric vehicles are low, the timing results tend to reduce the vehicle delay at intersections, but when the road section speed and the mixed proportion of electric vehicles are high, the timing results tend to reduce the vehicle stop rate.

中文翻译：

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考虑燃油汽车和电动汽车的信号交叉口的汽车CO ₂排放建模和信号定时分析

交叉路口是机动车的能源消耗和排放量较大的区域，在道路规划和交通控制中应减少交叉路口车辆的能耗和排放量，以改善城市交通环境。为了分析信号定时对燃料汽车和电动汽车混合交通环境下交通流量CO2排放的影响。建立了一组CO2增量排放模型，以估算信号交叉口的燃油汽车和电动汽车的CO2排放。然后，建立了具有最小CO2排放量的信号时序模型，并分析了不同交通条件下具有最小CO2排放量的信号时序对车辆控制延迟和停车率的影响。案例研究表明，从车辆二氧化碳排放量的角度看，交叉口的时间参数优化与从控制延迟或停车率角度看是不同的。该模型的时间优化将有效地平衡车辆在加速，减速和空转阶段产生的CO2排放，从而实质上综合考虑了车辆控制延迟和停车率。当路段速度和电动汽车的混合比例较低时，计时结果倾向于减少交叉路口的车辆延误，但是当路段速度和电动汽车的混合比例较高时，计时结果倾向于减小交叉路口的车辆延误。车辆停车率。该模型的时间优化将有效地平衡车辆在加速，减速和空转阶段产生的CO2排放，从而实质上综合考虑了车辆控制延迟和停车率。当路段速度和电动汽车的混合比例较低时，计时结果倾向于减少交叉路口的车辆延误，但是当路段速度和电动汽车的混合比例较高时，计时结果倾向于减小交叉路口的车辆延误。车辆停止率。该模型的时间优化将有效地平衡车辆在加速，减速和空转阶段产生的CO2排放，从而实质上综合考虑了车辆控制延迟和停车率。当路段速度和电动汽车的混合比例较低时，计时结果倾向于减少交叉路口的车辆延误，但是当路段速度和电动汽车的混合比例较高时，计时结果倾向于减小交叉路口的车辆延误。车辆停止率。