Multi-sensor Data Fusion for Smart Cities

智慧城市的多传感器数据融合

• 批准号: 1941568
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1941568
• 关键词: Multi; sensor; Data; Fusion; Smart

The integration of real time information from the interned of things and multiple sensors offers the potential to transform how cities are run, to improve the quality of life and to make cities more efficient and sustainable. This PhD project will draw on the relevant academic literature and deploy cutting-edge analytical methods to explore how the use of social data and their combination with data from telecoms (e.g. Vodafone mobile phone data) and from ITS (Intelligent Transport Systems) can be used to enrich the map context to improve the efficiency and resilience of Smart Cities.

整合来自物联网和多个传感器的实时信息，有可能改变城市的运行方式，提高生活质量，使城市更加高效和可持续。该博士项目将借鉴相关学术文献，并采用尖端的分析方法，探索如何使用社交数据及其与电信（例如沃达丰移动电话数据）和ITS（智能交通系统）数据的结合，以丰富地图背景，提高智慧城市的效率和弹性。