III-COR: Modeling and Querying Moving Objects in Unconstrained and Constrained Environments

研究目标是在理论和实践中设计和实现新的计算数据模型和查询语言的轨迹（历史和预测）的移动对象在约束和无约束的环境。一个方面是包括对当前和预测移动的建模和查询（例如，飓风和野火未来演变的预测）输入数据库。这特别引入了移动对象的不确定性的固有特征，结合了独立于应用的预测模型的数据库支持，并且包括历史和预测移动对象在允许自由移动的不受约束的环境中的同质和无缝集成。另一个方面涉及在受限环境中移动对象的特殊情况，并且在此特别是在空间网络中（如交通网络中的车辆）。这里的主要问题是空间网络以及其中的移动对象如何在数据库系统中设计，查询和实现。解决方案的方法是基于嵌入到数据库系统中的三个基本代数或类型系统：（i）移动气球代数（MBA）在无约束环境中的预测移动对象，（ii）网络代数（NETALG）在空间数据库中的几何网络，和（iii）移动对象在网络（MONET）代数在空间网络中的移动对象。这项研究的结果预计将在动态演变的空间对象-随着时间的推移改变其位置，形状和范围-发挥作用的领域中应用。例如，气象学、飓风研究、火灾管理、灾害管理、导航系统、环境监测、运输和配送、应急服务、电信等。该项目的教育部分包括侧重于该项目重要方面的专门课程，新的地理信息系统教材的创建和使用，以及学生参与跨学科研究。项目网站（http：//www.cise.ufl.edu/FundedResearchProjects/NSF-IIS-0812194/）用于传播研究成果、教育材料、出版物、生成的数据集、制作的软件和其他感兴趣的信息。

The research objective is the theoretical and practical design and implementation of new computational data models and query languages for the trajectories (both historical and predicted) of moving objects in both constrained and unconstrained environments. One aspect is to include the modeling and querying of current and predictive movement (e.g., the prediction of the future evolution of hurricanes and wild fires) into databases. This especially introduces the inherent feature of uncertainty of moving objects, incorporates the database support of prediction models independent of applications, and includes a homogeneous and seamless integration of both historical and predictive moving objects in unconstrained environments that allow free movement. Another aspect relates to the special situation of moving objects in constrained environments, and here especially in spatial networks (like vehicles in transportation networks). The main issues here are how spatial networks as well as moving objects in them can be designed, queried, and implemented within a database system. The solution approach is based on three fundamental algebras or type systems that are embedded into database systems: (i) the Moving Balloon Algebra (MBA) for predictive moving objects in unconstraint environments, (ii) the Network Algebra (NETALG) for geometric networks in spatial databases, and (iii) the Moving Object in Network (MONET) Algebra for moving objects in spatial networks. The resuls of this research are expected to have applications in areas where dynamically evolving spatial objects -- which change their location, shape, and extent over time -- play a role. Examples are meteorology, hurricane research, fire management, disaster management, navigation systems, environmental monitoring, transportation and distribution, emergency services, telecommunications, to name only a few. The educational component of this project includes specialized classes that focus on important aspects of this project, the creation and use of new GIS educational materials, and the involvement of students in interdisciplinary research. The project Website (http://www.cise.ufl.edu/~mschneid/Research/FundedResearchProjects/NSF-IIS-0812194/)is used for the dissemination of research results, educational material, publications, generated data sets, produced software, and other information of interest.