Real - Time and Secure Analysis of Data for Connected Vehicles
| 项目名称： | Real - Time and Secure Analysis of Data for Connected Vehicles |
| 摘要： | Description: As the sources of regional connected vehicle data become more diverse and plentiful, infrastructure to support these data must scale to very large data; must support data of many types, including sensor data, text, and images; must securely support real-time processing for many applications; and must be trustworthy, and privacy-preserving. Public cloud infrastructure has advanced so that it now offers promising technologies for addressing these requirements. Our target applications include the real-time processing of connected vehicle data and traffic prediction, which is a critical component for many Intelligent Transportation Systems (ITS) applications, such as Advanced Traveler Information Systems, real-time route guidance, and emergency response systems planning. Intellectual Merit: This project has twofold aims that include: 1) the investigation of the effectiveness of public cloud infrastructure for the secure real-time processing of streaming data from connected vehicles, and 2) the design and implementation of two key applications of connected vehicle systems using a streaming data model. Broader Impacts: The outcomes of this research will include developed infrastructure along with best practice recommendations for several connected vehicle applications and lays the computing and technology groundwork for significant collaboration on Smart City, Intelligent Transportation Systems, and Smart Factory, along with connected vehicle applications, across the region. |
| 状态： | Active |
| 资金： | 80635 |
| 资助组织： | Clemson University |
| 管理组织： | Clemson University |
| 项目负责人： | Apon, Amy |
| 执行机构： | Benedict College |
| 主要研究人员： | Comert, Gurcan |
| 开始时间： | 20171101 |
| 预计完成日期： | 20190430 |
| 实际结束时间： | 0 |
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