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Using routing apps to model real‐time road traffic emissions
Weather ( IF 2.3 ) Pub Date : 2020-05-08 , DOI: 10.1002/wea.3729
Helen Pearce 1 , Zhaoya Gong 1 , Xiaoming Cai 1 , William Bloss 1
Affiliation  

General awareness of air quality has grown significantly in recent years, with 'Low Emission' and 'Clean Air' zones proposed for many cities across the UK. However, cities are a complex landscape and air pollutant concentrations can vary greatly from street to street. Therefore, a synthesis of techniques to quantify air pollution is required to account for variations in traffic, meteorology and urban geometry. While the transport sector accounts for much of the outdoor air pollution in UK cities, a limiting factor of current techniques is that traffic is approximated at coarse temporal and spatial resolutions. For example, the UK Department for Transport provides manual hourly counts of traffic volume for point locations, but these tend to only be for major roadways and the data is typically collected on one day of the year. In this study, we present a novel technique that helps to 'fill in' the gaps in our traffic data by harnessing the power of real‐time queries to online mapping services, such as Google Maps, to obtain vehicle speed information. This data set can then be used to determine more accurate emission factors for oxides of nitrogen at the resolution of a single street. Initial results are promising, shown here by the application of this technique to the Birmingham (UK) road network.

中文翻译:

使用路由应用程序对实时道路交通排放进行建模

近年来,人们对空气质量的普遍意识已经大大提高,英国许多城市都提议建立“低排放”和“清洁空气”区。但是,城市景观复杂,街道之间的空气污染物浓度差异很大。因此,需要综合量化空气污染的技术来解决交通,气象和城市几何形状的变化。尽管运输部门在英国城市中造成了大部分室外空气污染,但目前技术的局限性在于,交通流量只能以粗略的时间和空间分辨率估算。例如,英国运输部提供手动每小时点位置的交通量计数,但这些计数往往仅适用于主要道路,并且数据通常在一年中的一天收集。在这项研究中,我们提出了一种新颖的技术,该技术通过利用实时查询对Google Maps等在线地图服务的强大功能来“填补”交通数据中的空白,以获取车速信息。然后,可以使用此数据集来确定单个街道分辨率下氮氧化物的更准确排放因子。这项技术在伯明翰(英国)道路网中的应用表明,初步结果令人鼓舞。
更新日期:2020-05-08
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