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Effects of vehicle gap changes on fuel economy and emission performance of the traffic flow in the ACC strategy

机译：ACC策略中车辆间隙变化对燃油经济性和交通流排放性能的影响

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This paper focuses on the effects of vehicle gap changes on fuel and emission performance of the simulated traffic flow in the adaptive cruise control (ACC) strategy. Firstly, the close correlation of vehicle gap changes and the host car's behaviors was explored with the measured car-following data. Secondly, the correlation between the host car's velocity and vehicle gap changes with different memory steps was also explored to develop the nth car’s optimal velocity function. Thirdly, a microscopic traffic simulation program was created for analyzing the traffic flow evolution process and approximately estimating the fuel consumptions and exhaust emissions. As a result, it was seen that vehicle gap changes with memory significantly affect fuel economy and emission performance of the simulated traffic flow in the ACC strategy, which can result in low fuel consumptions and exhaust emissions. This study is an incremental step forward for designing the control strategy of the ACC system.
机译：本文着眼于自适应巡航控制（ACC）策略中车辆间隙变化对模拟交通流的燃料和排放性能的影响。首先，利用实测的跟车数据探索了车辆间隙变化与主车行为的密切相关性。其次，还探索了本车速度与不同存储步骤的车辆间隙变化之间的相关性，以开发第n辆车的最佳速度函数。第三，创建了微观交通仿真程序，用于分析交通流演变过程并大致估计燃料消耗和废气排放。结果，可以看出车辆间隙随记忆的变化会显着影响ACC策略中模拟交通流的燃油经济性和排放性能，从而导致较低的燃油消耗和废气排放。这项研究是设计ACC系统控制策略的一项渐进步骤。

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