CPS: Synergy: Collaborative Research: Multiple-Level Predictive Control of Mobile Cyber Physical Systems with Correlated Context

网络物理系统(CPSS)正在融入我们社会的主要移动系统，如公共交通、供应链和出租车网络。过去的研究人员在设计网络物理系统方面积累了大量知识，如军事监视、基础设施保护、科学探索和智能环境，但主要是在相对固定的环境中，即空间和移动多样性有限的环境中。不同地，移动CP与不同位置和环境处的感兴趣的现象交互，并且其中关于这些物理位置的上下文信息(例如，网络可用性和连接性)可能不可用。这一独特的功能需要新的解决方案来将移动计算与现实世界无缝集成，包括动态访问多种无线技术。所需要的解决方案是：(I)创建基于新颖的预测分级控制的网络控制体系结构，并考虑到无线通信的特点；(Ii)开发基于现场网络系统识别和跨层优化的形式化网络控制模型；以及(Iii)在基于执法车辆的小型无线和车辆试验台上设计和实现参考实现。研究成果可以完善未来出租车控制调度系统等所有移动交通系统。这一应用的优点是：(I)减少司机找到客户的时间；(Ii)减少乘客等待的时间；(Iii)避免和防止交通拥堵；(Iv)减少油耗和运营成本；(V)提高司机和车辆的安全性；以及(Vi)执行市政法规。在移动计算和合作伙伴关系上开发的课程模块将在四所参与的大学中使用，然后通过网络提供。

Cyber physical systems (CPSs) are merging into major mobile systems of our society, such as public transportation, supply chains, and taxi networks. Past researchers have accumulated significant knowledge for designing cyber physical systems, such as for military surveillance, infrastructure protection, scientific exploration, and smart environments, but primarily in relatively stationary settings, i.e., where spatial and mobility diversity is limited. Differently, mobile CPSs interact with phenomena of interest at different locations and environments, and where the context information (e.g., network availability and connectivity) about these physical locations might not be available. This unique feature calls for new solutions to seamlessly integrate mobile computing with the physical world, including dynamic access to multiple wireless technologies. The required solutions are addressed by (i) creating a network control architecture based on novel predictive hierarchical control and that accounts for characteristics of wireless communication, (ii) developing formal network control models based on in-situ network system identification and cross-layer optimization, and (iii) designing and implementing a reference implementation on a small scale wireless and vehicular test-bed based on law enforcement vehicles. The results can improve all mobile transportation systems such as future taxi control and dispatch systems. In this application advantages are: (i) reducing time for drivers to find customers; (ii) reducing time for passengers to wait; (iii) avoiding and preventing traffic congestion; (iv) reducing gas consumption and operating cost; (v) improving driver and vehicle safety, and (vi) enforcing municipal regulation. Class modules developed on mobile computing and CPS will be used at the four participating Universities and then be made available via the Web.