Dyanmic Air Quality Management with Variable Mandatory Speed Limitation

该项目旨在通过动态改变英格兰公路战略公路网(SRN)上的速度限制来改善当地社区的空气质量。这项提议使用了现有的智能高速公路基础设施，使英国高速公路能够更好地利用现有的交通流量系统，以减少糟糕的空气质量对健康的影响。该项目只会在预测到空气质量不佳的情况下引入流动管理。这是通过测量交通拥堵、天气状况和污染水平，然后模拟污染如何通过位于主干道附近的社区扩散来实现的。我们将在一个小范围内安装一个由40个空气质量传感器组成的网络。这些传感器每分钟报告一次数据。通过引入大量高频空气质量传感器，我们将能够确定改变限速如何改善当地社区的空气质量。最近物联网(IoT)设备的增长，以及使数据更加开放和可访问的政策，意味着可以很容易地使用数据来预测空气质量如何以比之前建模所允许的更高的时间和空间分辨率变化。我们将使用英格兰高速公路的交通数据、英国气象局提供的近6000个地点的天气数据，以及我们的空气质量传感器，以比以前更高的分辨率提供空气质量预测。频繁的建模和预测将允许英格兰高速公路只在预测到糟糕的空气质量时引入可变的强制性限速(VMSL)。这一解决方案将允许操作员在特定时间段引入VMSL，而不是为每个高峰时间设置VMSL，从而减少对司机的影响。Amey的AQATANE系统负责收集各种数据源，并预测何时何地会出现糟糕的空气质量。我们的项目将使用EnviroWatch提供的传感器。他们的传感器被称为“e-Mote”，将监测一氧化氮(NO)、二氧化氮(NO2)和一氧化碳(CO)。他们还将试验新的低成本颗粒物(PM)传感器。我们还在与中小企业解决方案提供商Nicander合作，后者将提供他们的curo360系统来与英格兰高速公路对接，并在检测到劣质事件时设置可变消息标志和VMSL。这一过程是自动化的，允许特工继续他们的日常任务。我们还将与当地社区接触，了解他们对项目执行情况的看法，并将提供数据，将其显示在一个简单、易于理解的基于网络的仪表盘上。

This project aims to improve air quality in local communities by dynamically changing the speed limit on Highways England’s Strategic Road Network (SRN). This proposal uses existing smart motorway infrastructure, allowing Highways England to make better use of existing traffic flow systems to reduce the effects of poor air quality on health. This project will only introduce flow management when poor air quality is predicted. This is done by measuring traffic congestion, weather conditions and pollution levels, and then modelling how pollution disperses through communities located near major roads. We will install a network of 40 air quality sensors over a small area. These sensors report data back every minute. By introducing a large number of high frequency air quality sensors, we will be able to determine how varying the speed limit can improve air quality for local communities. The recent growth in internet of things (IoT) devices, as well as policies to make data more open and accessible, means that data can readily be used to predict how air quality can change at a much higher temporal and spatial resolution than previous modelling allowed. We will use traffic data from Highways England, weather data from nearly 6,000 sites provided by the Met Office, and our air quality sensors, to deliver air quality predictions at a much higher resolution than before. Frequent modelling and prediction will allow Highways England to only introduce Variable Mandatory Speed Limits (VMSL) when poor air quality is predicted. This solution would allow operatives to introduce VMSL for specific time periods, as opposed to setting VMSL for the each and every rush hour, reducing the impact on drivers. Collecting the various data sources and predicting where and when poor air quality will occur is handled by Amey’s AQATANE system. Our project will use sensors provided by Envirowatch. Their sensors, called an “e-Mote” will monitor nitric oxide (NO), nitrogen dioxide (NO2), and carbon monoxide (CO). They will also trial new low-cost particulate matter (PM) sensors. We are also working with the SME solution provider Nicander, who will be providing their curo360 system to interface with Highways England and set the variable message signs and VMSL when poor quality events are detected. This process is automated, allowing operatives to continue their day-to-day tasks. We will also be engaging with local communities to understand their views on the performance of the project, and will make data available, displayed on a simple, easy to understand web-based dashboard.