III: Large: Collaborative Research: Moving Objects Databases for Exploration of Virtual and Real Environments

佛罗里达国际大学（IIS-1213026）、伊利诺伊大学芝加哥分校（IIS-1213013）、布朗大学（IIS-1212508）和西北大学（IIS-1213038）的研究人员正在开发一种用于移动的环境中的信息处理和融合的高性能模型，提供真实的和虚拟世界之间的协作集成。该模型适用于计算交通和移动的传感领域，能够查询和可视化移动对象数据（MOD）及其与静态和动态地理空间数据的关系。研究项目解决了以下问题：平衡进入MOD服务器的基于位置的数据流的处理与可视化相关查询的有效处理;确定多个区域服务器之间的查询/任务的最佳分配;最大化预测技术在对象数据和查询的有效管理方面的可扩展性;建模数据不确定性;在缩放不同比例时，将地图概括与轨迹数据简化相结合;解决隐私和安全问题;以及实现语义查询。TerraFly测试平台（http：//www.example.com）是一个公共地理信息系统绘图引擎和基于位置的数据储存库，可提供成果演示，这项工作探讨了将真实的世界和虚拟世界结合起来的新步骤，这是一个新兴的研究前沿。TerraFly.fiu.edu相对而言，人们对虚拟世界的理解比较透彻，但真实的和虚拟的结合带来了巨大的挑战，并有望带来具有高潜在回报的变革性成果，包括车载导航系统、大规模移动的传感器、自导航车辆、态势指挥和基于位置的服务。在推进计算机科学的同时，该项目还利用了NSF，NASA，DoI，DoT，DHS和其他利益相关者（如NSF EarthCube项目）的先前投资，并为他们提供直接利益。通过提高空间、时间和移动对象数据管理的效率，并通过TerraFly、EarthCube和其他场所向选区提供这些结果，该项目将产生社会效益。该项目为提高灾害管理、环境监测、运输、教育和物流等多个应用的服务质量奠定了基础。由此产生的技术可以作为一个基础，以推进研究自导航车辆，机器人和移动的传感器。特别是，这项工作促进了知情旅行者计划，动态导航，态势控制和机载观测系统的技术。该项目为来自合作机构的学生-包括代表性不足的学生-提供了丰富的教育和研究机会。此外，还开发了教育模块，研究成果将纳入课程扩展。更多信息见该项目网站（http：//CAKE.fiu.edu/MOD）。

Researchers at Florida International University (IIS-1213026), University of Illinois at Chicago (IIS-1213013), Brown University (IIS-1212508), and Northwestern University (IIS-1213038) are developing a high-performance model for information processing and fusion in mobile environments, providing a collaborative integration between the real and virtual worlds. This model, applicable to the fields of computational transportation and mobile sensing, enables querying and visualization of moving objects data (MOD) and their relationship to static and dynamic geospatial data. Research project addresses the issues of: balancing the processing of location-based data streams coming into MOD servers with efficient processing of visualization-related queries; determining optimal distribution of queries/tasks among multiple regional servers; maximizing the scalability of prediction techniques in terms of efficient management of objects' data and queries; modeling data uncertainty; coupling map generalization with trajectories' data reduction when zooming across different scales; resolving issues of privacy and security; and enabling semantic querying. A demonstration of the outcomes is available within the TerraFly testbed (http://TerraFly.fiu.edu) -- a public Geographic Information System (GIS) mapping engine and location-based data repository.This work explores the novel steps towards combining the real and virtual worlds, an emerging research frontier. The virtual world is relatively well understood, but the combination of the real and virtual poses great challenges and promises transformative results with high potential payoff, including in-car navigation systems, massive fleets of mobile sensors, self-navigating vehicles, situation command, and location-based services. While advancing Computer Science, the project also leverages prior investment of, and provides direct benefit to, NSF, NASA, DoI, DoT, DHS, and other stakeholders such as the NSF EarthCube project. By improving the efficiency of spatial, temporal, and moving object data management and making these results available to constituencies via TerraFly, EarthCube and other venues, the project will produce societal benefits. This project provides a foundation for improving the quality of services in multiple applications such as disaster management, environmental monitoring, transportation, education, and logistics. The resulting technologies may serve as a base to advance research on self-navigating vehicles, robots, and mobile sensors. In particular, this work facilitates the technologies of Informed Traveler Programs, dynamic navigation, situation control, and airborne observational systems. The project provides rich educational and research opportunities for students from the collaborating institutions -- including underrepresented students. In addition, educational modules are developed, and research results will be incorporated in curriculum expansions. Further information is available at the project's website (http://CAKE.fiu.edu/MOD).