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自动驾驶汽车为城市空气质量带来的机遇。

Autonomous vehicles opportunities for cities air quality.

机构信息

Department of Environment and Planning, CESAM, University of Aveiro, 3810-193 Aveiro, Portugal.

Department of Environment and Planning, CESAM, University of Aveiro, 3810-193 Aveiro, Portugal.

出版信息

Sci Total Environ. 2020 Apr 10;712:136546. doi: 10.1016/j.scitotenv.2020.136546. Epub 2020 Jan 8.

Abstract

The impacts of autonomous vehicles (AV) on safety, energy and atmospheric emissions have been recognised to be important issues, but an air quality impact assessment is missing. In this study, by using a numerical modelling approach, the impact of AV on the air quality of a medium-sized Portuguese urban area was evaluated. For that, the air pollutants nitrogen oxides (NOx) and carbon dioxide (CO) were considered and three scenarios were developed: i) a baseline scenario; ii) an autonomous scenario, assuming an AV market penetration rate of 30%; and iii) an electric autonomous scenario, taking into account that those 30% of AV are pure battery electric cars. A modelling system composed by a road traffic model, a road transport emission model and a Computational Fluid Dynamics air quality model was used. The autonomous scenario promoted an increase of both NOx (+1.8%) and CO (+0.7%) emissions, while the electric autonomous scenario resulted in emission reductions of about 30% for both air pollutants. In terms of air quality, distinct patterns were found: i) the autonomous scenario promoted both increases and decreases of NOx concentrations; and ii) the electric autonomous scenario promoted a widespread reduction of NOx concentrations (with an average value of -4%). Overall the results showed that AV have the potential to improve urban air quality, but, further research is needed to enrich the findings of this work.

摘要

自动驾驶汽车 (AV) 对安全、能源和大气排放的影响已被认为是重要问题,但缺乏空气质量影响评估。在这项研究中,通过使用数值建模方法,评估了 AV 对葡萄牙一个中等城市地区空气质量的影响。为此,考虑了氮氧化物 (NOx) 和二氧化碳 (CO) 这两种污染物,并制定了三个情景:i) 基线情景;ii) 自动驾驶情景,假设 AV 的市场渗透率为 30%;iii) 电动自动驾驶情景,考虑到这 30%的 AV 是纯电动汽车。使用了一个由道路交通模型、道路交通排放模型和计算流体动力学空气质量模型组成的建模系统。自动驾驶情景导致 NOx(+1.8%)和 CO(+0.7%)排放增加,而电动自动驾驶情景导致这两种空气污染物的排放量减少约 30%。就空气质量而言,发现了不同的模式:i)自动驾驶情景导致 NOx 浓度同时增加和减少;ii)电动自动驾驶情景导致 NOx 浓度广泛降低(平均降低 4%)。总体而言,结果表明 AV 有可能改善城市空气质量,但需要进一步研究来丰富这项工作的结果。

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