Many of the anticipated advantages of connected and automated vehicles or automated vehicles without connectivity (CAVs and AVs respectively) on congestion and energy consumption are questionable. Some studies provide quantitative answers to the above questions through microsimulation but they systematically ignore the realistic simulation of vehicle dynamics, driver behaviour or instantaneous emissions estimates, mostly due to the overall increased complexity of the transport systems and the need for low computational demand on large-scale simulations. However, recent studies question the capability of common car-following models to produce realistic vehicle dynamics or driving behaviour, which directly impacts emissions estimations as well. This work presents a microsimulation study that contributes on the topic, using a scenario-based approach to give insights regarding the impact of CAVs and AVs on the evolution of emissions over a highway network. The motivation here is to answer whether the different driving behaviours produce significant differences in emissions during rush hours, and how significant is the impact of detailed vehicle dynamics simulation and instantaneous emissions in the outcome.

中文翻译：

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自动化和连通性对交通流量和二氧化碳排放的影响。详细的微观模拟研究

联网和自动驾驶汽车或没有联网的自动驾驶汽车（分别为 CAV 和 AV）在拥堵和能源消耗方面的许多预期优势值得商榷。一些研究通过微观模拟为上述问题提供了定量的答案，但他们系统地忽略了对车辆动力学、驾驶员行为或瞬时排放估计的现实模拟，主要是由于运输系统整体复杂性的增加以及对大型车辆的低计算需求的需要。规模模拟。然而，最近的研究质疑常见的跟驰模型产生真实车辆动力学或驾驶行为的能力，这也直接影响排放估计。这项工作提出了一项有助于该主题的微观模拟研究，使用基于场景的方法来深入了解 CAV 和 AV 对高速公路网络排放演变的影响。这里的动机是回答不同的驾驶行为是否会在高峰时段产生显着的排放差异，以及详细的车辆动力学模拟和瞬时排放对结果的影响有多大。