DDDAS-TMRP: Dynamic, Simulation-Based Management of Surface Transportation Systems

该项目将解决有关有效实现用于地面运输系统管理的动态数据驱动应用模拟（DDDAS）的研究挑战。中间件研究将解决与动态调整计算和通信基础设施以传播和传播数据和计算以满足服务质量要求相关的挑战。数据清理和估算方面的研究将使用统计技术来解决实时数据馈送中出现的差距和错误等问题。建模研究将集中在基于代理的，动态数据驱动的交通网络仿真模型，适应实时数据反馈，以预测系统的未来状态，并建模的羽状云分散时，与交通模拟集成，允许评估的DDDAS方法在importantemergency场景。最后，一个范例，称为特设分布式仿真将探讨，功能动态收集的自治仿真相互作用和实时数据在一个连续运行的实时分布式仿真环境。实验研究将通过在仪表车辆、无线路边计算机和高性能计算服务器上部署原型系统来进行。

This project will address research challenges concerning the effective realization of dynamic data driven application simulations (DDDAS) used for the management of surface transportation systems. Middleware research will address challenges associated with dynamically adapting the computing and communication infrastructure to disseminate and propagate data and computations to meet quality of service requirements. Research in data cleaning and imputation will use statistical techniques to address issues such as gaps and errors that will arise in real-time data feeds. Modeling research will focus on agent-based, dynamic data driven simulation models of transportation networks that adapt to real-time data feeds to predict future states of the system, and modeling of plume cloud dispersions that when integrated with transportation simulations, allow evaluation of the DDDAS approach in importantemergency scenarios. Finally, a paradigm termed ad hoc distributed simulations will be explored that features dynamic collections of autonomous simulations interacting with each other and real-time data in a continuously running real-time distributed simulation environment. Experimental research will be conducted by deploying a prototype system on instrumented vehicles, wireless enabled roadside computers, and high performance compute servers.