Low-cost acoustic sensor to monitor, analyse and predict traffic and vehicular emissions with Spatiotemporal Context (Traffic Ear)

这是一个工业研究项目，旨在研究使用声学传感器来监测和估计具有时空背景的车辆排放。我们将在桑德韦尔地区周围进行试验，以验证我们的方法。通过这个项目，我们希望能够帮助地方政府规划未来并采取替代行动来减少车辆排放对空气质量的影响。创新工厂将与伯明翰大学和桑德韦尔市议会合作开展该项目，他们将为试验提供10个地点。该项目还将使我们能够实时了解变化的模式。探索使用替代传感器，使用声学人工智能来识别如何估计交通流量、拥堵和车辆排放水平的见解。

This is an industrial research project to look at the use of acoustic sensors for traf?c monitoring and estimating vehicular emissions with spatiotemporal context. We will carry out trials around the Sandwell area to validate our approach. With this project, we expect to be able to help local authorities to plan for the future and take alternative action to reduce the impact of vehicular emissions on air quality.Innovation Factory will be collaborating on the project with University of Birmingham and Sandwell Metropolitan Borough Council who will be providing 10 sites for the trials.This project also will allow us to understand the changing patterns in real-time. Exploring the use of alternative sensors that use acoustic AI to identify insights on how to estimate levels of traf?c movements, congestion and vehicular emission levels.