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Aggregated GPS tracking of vehicles and its use as a proxy of traffic-related air pollution emissions

机译:车辆的GPS汇总跟踪及其用作与交通相关的空气污染排放的代理

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摘要

Most air quality models use traffic-related variables as an input. Previous studies estimated nearby vehicular activity through sporadic traffic counts or via traffic assignment models. Both methods have previously produced poor or no data for nights, weekends and holidays. Emerging technologies allow the estimation of traffic through passive monitoring of location-aware devices. Examples of such devices are GPS transceivers installed in vehicles. In this work, we studied traffic volumes that were derived from such data. Additionally, we used these data for estimating ambient nitrogen dioxide concentrations, using a non-linear optimisation model that includes basic dispersion properties. The GPS-derived data show great potential for use as a proxy for pollutant emissions from motor-vehicles. (C) 2016 Elsevier Ltd. All rights reserved.
机译:大多数空气质量模型使用与交通相关的变量作为输入。先前的研究通过零星交通计数或交通分配模型估算附近的车辆活动。以前,这两种方法在晚上,周末和节假日均产生不良数据或没有数据。新兴技术允许通过对位置感知设备的被动监视来估计流量。这种设备的示例是安装在车辆中的GPS收发器。在这项工作中,我们研究了从此类数据得出的流量。此外,我们使用这些数据通过包含基本分散特性的非线性优化模型来估算环境中的二氧化氮浓度。来自GPS的数据显示出了巨大的潜力,可用来替代机动车污染物的排放。 (C)2016 Elsevier Ltd.保留所有权利。

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