不同联网自动驾驶汽车渗透水平下的当地空气质量评估

L. P. Correia, S. Rafael, D. Lopes, J. Bandeira, M. Coelho, Mário Andrade, C. Borrego, A. Miranda
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引用次数: 1

摘要

在过去十年中,由于实施了有效的减少大气排放的政策和行动,欧洲的空气质量模式有所改善。尽管做出了这些努力,但仍有多达30%的欧洲城市居民暴露在超过欧洲空气质量标准的空气污染中。道路运输是主要的排放源之一,特别是有害污染物如氮氧化物(NOx)。近年来的技术发展使得联网自动驾驶汽车(cav)的水平不断提高,限制了人类的驾驶行为,这为驾驶风格提供了更好的控制和标准化。这些车辆与几个基础设施和其他道路运输的连接为新的路线方法让路,这些方法可能包括,例如,实时交通信息,改善道路安全,通勤时间和产生环境效益。在这方面,这项工作的主要目标是评估自动驾驶汽车市场日益普及对当地道路运输排放的影响及其对空气质量的影响。选择阿威罗市区(葡萄牙)的一条主干道作为案例研究,并分析了三种情景:i)基线案例,旨在描述当前汽车对空气质量的影响;ii)自动驾驶汽车市场渗透率为30%的情景;iii)电动汽车市场渗透率达到30%的情景。使用车辆特定功率(VSP)模型计算典型工作日的每小时大气排放量。为了减少混合交通流组成的排放,改变了遵循自动驾驶汽车参数的汽车。为了进行空气质量模拟,应用了计算流体动力学(CFD)模型VADIS,并分析了NOx浓度。初步结果表明,随着自动驾驶汽车普及率的提高,普通车辆和自动驾驶汽车的氮氧化物排放量均有所增加,空气质量略有下降。然而,当考虑纯电池cav时,1.5 m高度处的NOx浓度显著下降,整个计算域平均下降4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ASSESSMENT OF LOCAL AIR QUALITY FOR DIFFERENT PENETRATION LEVELS OF CONNECTED AUTONOMOUS VEHICLES
Over the last decade, air quality patterns in Europe have improved due to the implementation of effective policies and actions to reduce atmospheric emissions. Despite of this effort, up to 30% of European citizens living in cities are still exposed to air pollution levels exceeding European air quality standards. Road transport is one of main emission sources, especially of harmful pollutants such as nitrogen oxide compounds (NOx). Technological developments in recent years have allowed for an increasing level of connected autonomous vehicles (CAVs), restricting human driving behaviour, which provides greater control and standardization of the driving style. The connection of these vehicles to several infrastructures and other road transports makes way to new routing methods that may include, for example, real-time traffic information, improve road safety, commute times and generate environmental benefits. In this context, the main goal of this work was to evaluate the impact of the increasing market penetration of CAVs in local road transport emissions and its influence on air quality. A main avenue of the Aveiro urban area (Portugal) was selected as case study and three scenarios were analysed: i) a baseline case, aiming to characterize the impacts of current car fleet on air quality; ii) one scenario with a 30% CAVs market penetration rate; and iii) one scenario with a 30% electric CAVs market penetration rate. The atmospheric emissions were calculated using the vehicle-specific power (VSP) model in an hourly basis for a typical workday. Cars following the parameters of CAVs were changed in order to reduce emissions of a mixed traffic flow composition. To perform the air quality simulations, the Computational Fluid Dynamic (CFD) model VADIS was applied and the NOx concentrations were analysed. Preliminary results indicate that an increased penetration rate of CAVs causes an increase in the NOx emission of the regular and CAVs fleet, and a slight depreciation of the air quality is noticed. However, when considering pure battery CAVs, the NOx concentration at a height of 1.5 m decreases significantly, averaging a 4% decrease for the whole computational domain.
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