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

低成本声学传感器，用于通过时空背景（交通耳）监测、分析和预测交通和车辆排放

• 批准号: 10003095
• 金额: $ 48.01万
• 依托单位: INNOVATION FACTORY LIMITED
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10003095
• 关键词: Low; cost; acoustic; sensor; monitor

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.

这是一个工业研究项目，看看使用声学传感器的交通？c.结合时空背景监测和估计车辆排放。我们将在桑德韦尔地区进行试验，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，并采取替代措施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大都会自治市理事会合作，他们将为试验提供10个地点。这个项目还将使我们能够实时了解变化的模式。探索使用声学AI的替代传感器来识别如何估计交通水平的见解？c交通流量、挤塞情况及车辆废气排放水平。