CAREER: Lagrangian Sensing in Large Scale Cyber-Physical Infrastructure Systems

职业：大规模网络物理基础设施系统中的拉格朗日传感

• 批准号: 0845076
• 负责人: Alexandre Bayen
• 金额: $ 40万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-03-01 至 2015-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0845076&HistoricalAwards=false
• 关键词: CAREER; Lagrangian; Sensing; Large; Scale

This project includes the development of theory and algorithms, the design of a system architecture, and the prototyping, testing and large-scale deployment of two mobile sensing platforms. The two applications are highway traffic estimation and river flow estimation using GPS-equipped smartphones. The algorithms run online, gather mobile data and send it to a server, which uses inverse modeling to estimate the state of the system. It broadcasts information back to the smartphones and to the internet. A field operational test, called Mobile Millennium is aimed at reaching thousands of users in California. The river flow monitoring project is aimed at deploying a hundred drifters in the Sacramento Delta.The contributions are in the field of Lagrangian sensing in large-scale cyber-physical infrastructure systems. "Lagrangian" refers to a form of sensing in which sensors measure quantities along their trajectories; "cyber-physical" refers to the flow of information and computing in a system governed by physical phenomena. The project investigates the following question: how to reconstruct the state of a distributed system from mobile sensors which cannot control their motion? The mathematical techniques used include inverse modeling, applied to partial differential equations.This project addresses some important issues related to transportation and clean water. With the free downloadable smartphone software, commuters have real-time traffic information to increase their travel efficiency. By involving students from underrepresented minorities, the UC Berkeley Disabled Student Program, and the Berkeley High School, this research provides a valuable opportunity for students to develop their interest in engineering.

该项目包括理论和算法的开发，系统架构的设计，以及两个移动的传感平台的原型设计，测试和大规模部署。这两个应用是使用配备GPS的智能手机进行公路交通估计和河流流量估计。这些算法在线运行，收集移动的数据并将其发送到服务器，服务器使用逆向建模来估计系统的状态。它将信息广播回智能手机和互联网。一项名为“移动的千年”的实地操作测试旨在覆盖加州的数千名用户。河流流量监测项目的目标是在萨克拉门托三角洲部署100个漂流者，其贡献是在大规模网络物理基础设施系统中的拉格朗日传感领域。“拉格朗日”指的是一种传感形式，其中传感器沿其轨迹沿着测量量;“网络物理”指的是由物理现象控制的系统中的信息流和计算。该项目研究了以下问题：如何从不能控制其运动的移动的传感器重构分布式系统的状态？所使用的数学技术包括应用于偏微分方程的逆模型。这个项目解决了一些与运输和清洁水有关的重要问题。通过免费下载的智能手机软件，通勤者可以获得实时交通信息，以提高出行效率。通过涉及来自代表性不足的少数民族，加州大学伯克利分校残疾学生计划和伯克利高中的学生，这项研究为学生提供了一个宝贵的机会，发展他们对工程的兴趣。