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首页> 外文期刊>Transportation Research >Fleet-based vehicle emission factors using low-cost sensors: Case study in parking garages
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Fleet-based vehicle emission factors using low-cost sensors: Case study in parking garages

机译：基于车队的车辆排放因子使用低成本传感器：案例研究停车车库

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Traditionally, vehicle emissions measurements rely on reference-grade instruments whose high cost and complexity have limited their deployment in real-world environments. New simple-to-operate, low-cost sensing technologies are a potential solution to this problem. To assess their suitability, we deployed six Sensit Real-time, Affordable, Multi-Pollutant (RAMP) monitors measuring PM2.5, NO, NO2, CO2, O-3 and CO in three parking garages on the UBC Vancouver campus from April-August 2019. UBC Parking Services provided real-time vehicle counts to help validate our method. After sensor calibration, integrated pollutant and CO2 signals were converted to fuel-based emission factors (EFs). Our calculated EFs fell within the range of previous studies. Evening EFs when vehicles were cold were 10-50% higher than in the morning. We also observed a disproportional contribution of high emitters; the top 25% of plumes contributed 45-65% of total emissions. Our findings indicate that low-cost sensors are a promising technology for real-world vehicle emissions measurement.
机译：传统上，车辆排放量度依赖于参考级仪器，其高成本和复杂性的高度和复杂性限制了其在现实世界环境中的部署。新的简单操作，低成本的感应技术是对此问题的潜在解决方案。为了评估他们的适用性，我们部署了六个敏感的实时，价格实惠的多污染物（斜坡）测量PM2.5，NO，NO2，CO2，O-3和CO，在UBC温哥华校区的三个停车库中 - 2019年8月。UBC停车服务提供了实时车辆计数，以帮助验证我们的方法。传感器校准后，将综合污染物和CO2信号转换为基于燃料的排放因子（EFS）。我们计算的EFS在以前的研究范围内下降。晚上的EFS当车辆感冒时比早上高10-50％。我们还观察到了高发射商的贡献;前25％的羽毛占总排放量的45-65％。我们的调查结果表明，低成本传感器是真实世界车辆排放测量的有希望的技术。

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