NSF/USDOT Partnership for Exploratory Research - ICSST: Decentralized Surveillance, Control and Data Transmission for Transportation Applications

NSF/USDOT 探索性研究合作伙伴关系 - ICSST：交通应用的分散式监视、控制和数据传输

• 批准号: 0127944
• 负责人: Benjamin Coifman
• 金额: --
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-10-01 至 2003-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0127944&HistoricalAwards=false
• 关键词: NSF; USDOT; Partnership; Exploratory; Research

PI:CoifmanInstitution: Ohio State University Research Foundation.Decentralized surveillance, control and data transmission for transportation applicationsThis research will reexamine the control and data transmission systems used by highway operating agencies to reduce the combined surveillance and communications costs, without sacrificing traffic management effectiveness. These agencies rely on automated surveillance tools to monitor conditions throughout the road network. Under conventional operation, the fixed-point surveillance systems transmit data at constant intervals to allow for a rapid response when conditions change. Yet most of the time, the response to the data is simply that no action is necessary. The required communications network and transmission costs can become significant. Some states spend several million dollars each year to cover the associated communication expenses. This problem will intensify as new traffic management surveillance technologies are deployed in the future.The research will develop distributed control algorithms to make decisions in the field and the systems will only transmit data when it would be beneficial for wide scale control. The research will focus on the decision to transmit data, based on prevailing conditions at the detector station, to reduce the costs of surveillance. Key to this event driven approach is the recent emergence of new communication technologies, such as cellular digital packet data. With a slight increase of processing power in the field, the detector station could initiate communications as soon as conditions warrant reporting. The fundamental contributions of this research include quantifying the benefits of information, modeling various communication network topologies to optimize system performance, developing efficient communication and distributed control algorithms for these networks, and demonstrating the work in a detailed case study.

PI：Coifman机构：俄亥俄州州立大学研究基金会。交通应用的分散式监视、控制和数据传输本研究将重新审视高速公路运营机构使用的控制和数据传输系统，以降低监视和通信的综合成本，同时不牺牲交通管理的有效性。这些机构依靠自动监控工具来监控整个道路网络的状况。在常规操作下，定点监视系统以恒定的间隔传输数据，以便在条件变化时快速反应。然而，大多数时候，对数据的反应只是不需要采取任何行动。所需的通信网络和传输成本可能会变得很大。一些州每年花费数百万美元来支付相关的通信费用。随着新的交通管理监控技术在未来的应用，这个问题将更加严重。研究将开发分布式控制算法，以便在现场做出决策，系统将只在有利于大规模控制时传输数据。研究将侧重于根据探测站的主要条件决定传输数据，以减少监测费用。这种事件驱动方法的关键是最近出现的新通信技术，如蜂窝数字分组数据。只要稍微提高现场的处理能力，探测站就可以在情况需要报告时立即启动通信。这项研究的基本贡献包括量化信息的好处，建模各种通信网络拓扑结构，以优化系统性能，为这些网络开发高效的通信和分布式控制算法，并在详细的案例研究中演示工作。