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

网络物理系统（cps）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。过去的研究人员已经积累了设计网络物理系统的重要知识，例如军事监视，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。不同的是，移动cps与不同位置和环境中感兴趣的现象进行交互，并且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。这种独特的特性需要新的解决方案来无缝集成移动计算与物理世界，包括对多种无线技术的动态访问。所需的解决方案是通过(i)创建一个基于新型预测分层控制的网络控制体系结构，并考虑到无线通信的特点，（ii）基于现场网络系统识别和跨层优化开发正式的网络控制模型，以及（iii）设计和实现一个基于执法车辆的小型无线和车载试验台的参考实现。研究结果可以改善所有的移动交通系统，如未来的出租车控制和调度系统。这种应用的优点是：(1)减少了司机寻找顾客的时间；（ii）缩短旅客等候时间；（iii）避免及防止交通挤塞；（四）降低燃气消耗和运行成本；(v)提高驾驶员和车辆安全；（vi）执行市政法规。四所参与的大学将使用以流动电脑和资讯科技为基础的课程模块，然后透过网页提供。

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.